{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "from sklearn import preprocessing\n",
    "from sklearn.metrics import mean_squared_error\n",
    "from math import sqrt\n",
    "#倒入一些必要的库"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>4185.177856</td>\n",
       "      <td>4155.743584</td>\n",
       "      <td>...</td>\n",
       "      <td>5776.432192</td>\n",
       "      <td>5708.148448</td>\n",
       "      <td>5646.307648</td>\n",
       "      <td>5664.270112</td>\n",
       "      <td>5643.042784</td>\n",
       "      <td>5585.970112</td>\n",
       "      <td>5440.096576</td>\n",
       "      <td>5249.950912</td>\n",
       "      <td>4882.170592</td>\n",
       "      <td>4525.087168</td>\n",
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       "      <td>3966.636736</td>\n",
       "      <td>3884.231392</td>\n",
       "      <td>3806.086816</td>\n",
       "      <td>3749.134816</td>\n",
       "      <td>3693.141952</td>\n",
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       "      <td>3624.352672</td>\n",
       "      <td>3612.573664</td>\n",
       "      <td>...</td>\n",
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       "      <td>7680.828448</td>\n",
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       "      <td>5991.484384</td>\n",
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       "      <td>7764.568768</td>\n",
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       "      <td>6047.793472</td>\n",
       "      <td>5505.483424</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 48 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               1            2            3            4            5  \\\n",
       "341  5198.125504  5019.355936  4895.199040  4806.742144  4725.795136   \n",
       "342  5221.149088  5018.849728  4888.913632  4782.699040  4687.741600   \n",
       "343  5007.711712  4823.014816  4697.942944  4588.171072  4484.792032   \n",
       "344  4229.335936  4093.134016  3966.636736  3884.231392  3806.086816   \n",
       "345  5090.080000  4912.570048  4800.568288  4719.091552  4659.062944   \n",
       "\n",
       "               6            7            8            9           10  ...  \\\n",
       "341  4667.236096  4579.045504  4534.895296  4506.000160  4471.948768  ...   \n",
       "342  4647.459040  4565.634976  4498.965184  4461.136576  4425.564064  ...   \n",
       "343  4390.284544  4302.995776  4242.501760  4185.177856  4155.743584  ...   \n",
       "344  3749.134816  3693.141952  3642.260800  3624.352672  3612.573664  ...   \n",
       "345  4594.057216  4532.040160  4477.522144  4422.483904  4402.484704  ...   \n",
       "\n",
       "              39           40           41           42           43  \\\n",
       "341  7906.017376  7879.659040  7698.652672  7670.227648  7486.079680   \n",
       "342  7215.516256  7172.341120  7003.842784  6978.192352  6835.899040   \n",
       "343  5776.432192  5708.148448  5646.307648  5664.270112  5643.042784   \n",
       "344  7875.753952  7866.949888  7700.455936  7680.828448  7504.637536   \n",
       "345  7971.206368  7979.907808  7764.568768  7754.018560  7542.967168   \n",
       "\n",
       "              44           45           46           47           48  \n",
       "341  7255.845184  6949.342624  6606.680320  6133.446688  5636.741920  \n",
       "342  6694.115296  6455.735296  6193.173472  5778.671872  5357.560960  \n",
       "343  5585.970112  5440.096576  5249.950912  4882.170592  4525.087168  \n",
       "344  7248.918400  6931.314016  6517.294816  5991.484384  5486.216416  \n",
       "345  7314.322144  6985.676416  6558.474976  6047.793472  5505.483424  \n",
       "\n",
       "[5 rows x 48 columns]"
      ]
     },
     "execution_count": 105,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#读取数据\n",
    "df1=pd.read_csv('data.csv') \n",
    "df1=df1.iloc[:,:]\n",
    "df1.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'by days')"
      ]
     },
     "execution_count": 155,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "draw1=df1.values.reshape(1,-1)\n",
    "draw1=draw1[0,:]\n",
    "draw2=df['48']\n",
    "plt.figure(figsize=(12,6))\n",
    "plt.plot(draw1[0:1000])\n",
    "plt.title(\"by half-hour\",fontsize='15') #添加标题\n",
    "plt.figure(figsize=(12,6))\n",
    "plt.plot(draw2)\n",
    "plt.title(\"by days\",fontsize='15') #添加标题"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(345, 48)\n",
      "(345,)\n"
     ]
    }
   ],
   "source": [
    "#进行数据归一化\n",
    "from sklearn import preprocessing\n",
    "min_max_scaler = preprocessing.MinMaxScaler()\n",
    "df0=min_max_scaler.fit_transform(df1)\n",
    "df = pd.DataFrame(df0, columns=df1.columns)\n",
    "X=df.iloc[:-1,:]\n",
    "y=df.iloc[1:,-1]\n",
    "print(X.shape)\n",
    "print(y.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "14928\n",
      "1632\n",
      "311\n",
      "34\n"
     ]
    }
   ],
   "source": [
    "#构造训练集测试集 \n",
    "y=pd.DataFrame(y.values,columns=['target'])\n",
    "x=X\n",
    "input_size=len(x.iloc[1,:])\n",
    "cut=len(y)//10#取最后cut=10天为测试集\n",
    "X_train, X_test=x.iloc[:-cut],x.iloc[-cut:]#列表的切片操作\n",
    "y_train, y_test=y.iloc[:-cut],y.iloc[-cut:]\n",
    "X_train,X_test,y_train,y_test=X_train.values,X_test.values,y_train.values,y_test.values\n",
    "x.iloc[:-cut]\n",
    "print(X_train.size)#通过输出训练集测试集的大小来判断数据格式正确。\n",
    "print(X_test.size)\n",
    "print(y_train.size)\n",
    "print(y_test.size)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 建立线性回归模型 预测\n",
    "from sklearn.linear_model import LinearRegression\n",
    "lr=LinearRegression()\n",
    "model = lr.fit(X_train, y_train) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 178,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x1e59b4c6470>]"
      ]
     },
     "execution_count": 178,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(lr.coef_[0,],'o')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Train Data')"
      ]
     },
     "execution_count": 109,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#在训练集上的拟合结果\n",
    "y_train_predict=model.predict(X_train)\n",
    "#展示在训练集上的表现 \n",
    "draw=pd.concat([pd.DataFrame(y_train),pd.DataFrame(y_train_predict)],axis=1)\n",
    "draw.iloc[100:150,0].plot(figsize=(12,6))\n",
    "draw.iloc[100:150,1].plot(figsize=(12,6))\n",
    "plt.legend(('real', 'predict'),fontsize='15')\n",
    "plt.title(\"Train Data\",fontsize='30') #添加标题"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Test Data')"
      ]
     },
     "execution_count": 110,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#在测试集上的预测\n",
    "y_test_predict=model.predict(X_test)\n",
    "#展示在测试集上的表现 \n",
    "draw=pd.concat([pd.DataFrame(y_test),pd.DataFrame(y_test_predict)],axis=1);\n",
    "draw.iloc[:,0].plot(figsize=(12,6))\n",
    "draw.iloc[:,1].plot(figsize=(12,6))\n",
    "plt.legend(('real', 'predict'),loc='upper right',fontsize='15')\n",
    "plt.title(\"Test Data\",fontsize='30') #添加标题"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "训练集上的MAE/MSE/MAPE\n",
      "0.03688606538124096\n",
      "0.0022075106624447937\n",
      "7.449212148432968\n",
      "测试集上的MAE/MSE/MAPE\n",
      "0.03828619547514183\n",
      "0.0019448026396183518\n",
      "6.588517863244481\n",
      "预测涨跌正确: 0.6666666666666666\n"
     ]
    }
   ],
   "source": [
    "#输出结果\n",
    "from sklearn.metrics import mean_absolute_error\n",
    "from sklearn.metrics import mean_squared_error\n",
    "import math\n",
    "def mape(y_true, y_pred):\n",
    "    return np.mean(np.abs((y_pred - y_true) / y_true)) * 100\n",
    "print('训练集上的MAE/MSE/MAPE')\n",
    "print(mean_absolute_error(y_train_predict, y_train))\n",
    "print(mean_squared_error(y_train_predict, y_train) )\n",
    "print(mape(y_train_predict, y_train) )\n",
    "print('测试集上的MAE/MSE/MAPE')\n",
    "print(mean_absolute_error(y_test_predict, y_test))\n",
    "print(mean_squared_error(y_test_predict, y_test) )\n",
    "print(mape(y_test_predict,  y_test[:,0]) )\n",
    "y_var_test=y_test[1:]-y_test[:len(y_test)-1]\n",
    "y_var_predict=y_test_predict[1:]-y_test_predict[:len(y_test_predict)-1]\n",
    "txt=np.zeros(len(y_var_test))\n",
    "for i in range(len(y_var_test-1)):\n",
    "    txt[i]=np.sign(y_var_test[i])==np.sign(y_var_predict[i])\n",
    "result=sum(txt)/len(txt)\n",
    "print('预测涨跌正确:',result)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "E:\\anoconda\\lib\\site-packages\\sklearn\\ensemble\\forest.py:245: FutureWarning: The default value of n_estimators will change from 10 in version 0.20 to 100 in 0.22.\n",
      "  \"10 in version 0.20 to 100 in 0.22.\", FutureWarning)\n",
      "E:\\anoconda\\lib\\site-packages\\ipykernel_launcher.py:4: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  after removing the cwd from sys.path.\n"
     ]
    }
   ],
   "source": [
    "# 建立随机森林模型 预测\n",
    "from sklearn.ensemble import RandomForestRegressor\n",
    "rf=RandomForestRegressor()\n",
    "model = rf.fit(X_train, y_train) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Train Data')"
      ]
     },
     "execution_count": 122,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#在训练集上的拟合结果\n",
    "y_train_predict=model.predict(X_train)\n",
    "#展示在训练集上的表现 \n",
    "draw=pd.concat([pd.DataFrame(y_train),pd.DataFrame(y_train_predict)],axis=1)\n",
    "draw.iloc[100:150,0].plot(figsize=(12,6))\n",
    "draw.iloc[100:150,1].plot(figsize=(12,6))\n",
    "plt.legend(('real', 'predict'),fontsize='15')\n",
    "plt.title(\"Train Data\",fontsize='30') #添加标题"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Test Data')"
      ]
     },
     "execution_count": 123,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#在测试集上的预测\n",
    "y_test_predict=model.predict(X_test)\n",
    "#展示在测试集上的表现 \n",
    "draw=pd.concat([pd.DataFrame(y_test),pd.DataFrame(y_test_predict)],axis=1);\n",
    "draw.iloc[:,0].plot(figsize=(12,6))\n",
    "draw.iloc[:,1].plot(figsize=(12,6))\n",
    "plt.legend(('real', 'predict'),loc='upper right',fontsize='15')\n",
    "plt.title(\"Test Data\",fontsize='30') #添加标题"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "训练集上的MAE/MSE/MAPE\n",
      "0.018939746886512822\n",
      "0.00079925013809814\n",
      "4.451955874273981\n",
      "测试集上的MAE/MSE/MAPE\n",
      "0.028541580962676918\n",
      "0.001667187642408793\n",
      "10.141988536464758\n",
      "预测涨跌正确: 0.6666666666666666\n"
     ]
    }
   ],
   "source": [
    "#输出结果\n",
    "from sklearn.metrics import mean_absolute_error\n",
    "from sklearn.metrics import mean_squared_error\n",
    "import math\n",
    "def mape(y_true, y_pred):\n",
    "    return np.mean(np.abs((y_pred - y_true) / y_true)) * 100\n",
    "print('训练集上的MAE/MSE/MAPE')\n",
    "print(mean_absolute_error(y_train_predict, y_train))\n",
    "print(mean_squared_error(y_train_predict, y_train) )\n",
    "print(mape(y_train_predict, y_train[:,0]) )\n",
    "print('测试集上的MAE/MSE/MAPE')\n",
    "print(mean_absolute_error(y_test_predict, y_test))\n",
    "print(mean_squared_error(y_test_predict, y_test) )\n",
    "print(mape(y_test_predict,  y_test) )\n",
    "y_var_test=y_test[1:]-y_test[:len(y_test)-1]\n",
    "y_var_predict=y_test_predict[1:]-y_test_predict[:len(y_test_predict)-1]\n",
    "txt=np.zeros(len(y_var_test))\n",
    "for i in range(len(y_var_test-1)):\n",
    "    txt[i]=np.sign(y_var_test[i])==np.sign(y_var_predict[i])\n",
    "result=sum(txt)/len(txt)\n",
    "print('预测涨跌正确:',result)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "E:\\anoconda\\lib\\site-packages\\sklearn\\utils\\validation.py:724: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  y = column_or_1d(y, warn=True)\n",
      "E:\\anoconda\\lib\\site-packages\\sklearn\\svm\\base.py:929: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.\n",
      "  \"the number of iterations.\", ConvergenceWarning)\n"
     ]
    }
   ],
   "source": [
    "# Fit regression model\n",
    "from sklearn.svm import LinearSVR  \n",
    "svr = LinearSVR() \n",
    "model = svr.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Train Data')"
      ]
     },
     "execution_count": 127,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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KQgjRIEu3nCE9t4RFM/pf9vvs2sFhDOnmz8vr4ykqrbEBOC8Ndr0Dg+dDUO+6Jxx0PZTkwsnvmmH2rZBh6BVh/wiIGK1Ly52XesJCNIYEws3s0UcfpbS0lClTpvDxxx/z008/sXz5cu6//34++eQTAKZNm0ZiYiIPP/ww33//PX/96195//33W3jmQghhv6z8Et7YeIppA0IY1aPzZY85OSmemtmf1Jxilm45c+mBzYuhogwmPW7+pD2uAO8uHbe5RtFFXUnDv5sOhAGSJE9YiMaQQLiZBQUFsX37dvr168cjjzzC1VdfzcKFC8nJyWHw4MEAzJw5k3/84x+sWLGC6667jp9++onVq1e38MyFEMJ+//7hJEVlFTxxTT+zj4/uGcjU/iG8sfEUmfklkJsKu5fCkFsgsJf5kzq76EoSx7+F4papINSiqkqnBURA5576RYEEwkI0iuQIN6Fly5aZvT8sLIz33rPeFWjhwoUsXLjwsvuMWl2VEhISGjM9IYRoEgmZBfx3+1nmj4wgOtjH4rgnZ/Rj+uJNvLbhBH91e1+XBJv0mPWTD7oBdi6BY2tg6C0OnnkrV9VMw78bKKVXhaWxhhCNIivCQgghHOql9fG4Ojvx8FVm8nxriA724ZZREfy4cy/G7mUw9Fbo3MP6ySNGQUCkbrnc0VStCPtH6tuI0XDxDORntNychGjjJBAWQgjhMHsTL7LmQCr3TOpJsJ/tyg4PT+3DA65fUVFZaXs1GPRK6KDr4dSPUGClFnF7lJ2oO+x5B+mvI8foW0mPEKLBJBAWQgjhELqV8jGCfNz4zaSedh0TVJ7OjU4/8Gn5Fey8aDmN4jKDbtBpFIdXNWK2bVBO8qW0CICuQ8DZXdIjhGgECYSFEEI4xA/HMth55gK/n9oHH3c7t6Bs+idOTk4s95zP39ccobLSsH1MyEDo0h8OrWjchNuaqkC4ios7hA2DpJ0tNych2jgJhIUQQjRaeUUlL6w7Rs8gb24eGWHfQRcTYN9HqBF3cvv0cexPzmH1wVTbxykFMddD4jbITmrUvNuUnCRdQ7imyNGQug/KpOuoEA0hgbAQQohG+3xPMicy8ll4TV9cne3807LpJVDOMOFR5g3vRr9QX1785hgl5RW2jx10g77tKKvC5SWQn143EI4YDRWlcG5vy8xLiDZOAmEhhBCNUlhazivfHWd4ZADTB4bad1DWKdj3CcT+Cvy64uyk+L9Z/Um+WMQHW+1oKd+5B4THdpzqEdUVI2q1pJbGGkI0igTCQgghGuXdn8+QkVfCUzMvb6Vs1aaXwNkNJjxSfdfE3l2Y1KcL//7hBNmFpbbPEXMDpB2E8/ENnHkbUrOZRk3eQRAYLYGwqLb1ZCaP/W+/fe+sCAmEhRBCNFxmfglvbTrN1QNCiI3qbPsAgMwTcOAzGHk3+IZc9tBTM/uRX1LOv384afs8A+eCcoKDHWBVuGYzjdoiRutA2LBjo6Fo1/YlZfPrD3bz+Z5kdp252NLTaRMkEG5n8vPzUUpd1tUuKiqKxx6zoz6nyc6dO/nzn//s+MkJIdqdf39/gqKyChZaaKVs1k8v6nq44x+u81C/UD9uGNGND7YlkJhVaP08vqEQNVGnR7T3IDAnGVDgF173sYjRUJil001Eh3UyI5+73ttJoI8bLk6KzSc7WJ3tBpJAuANYtWoVDz30kN3jd+7cybPPPtuEMxJCtAdnMgv4aEciN9topXyZ8/Fw8H8w6h7w6WJ2yKPT+uLi5MQ/vj1m+3wxN8KF03Aurh4zbx2e+fIQv1q2C8OeID47CXxCdMm02qoba0g94Y4qLaeYO5buxNlJ8eGvRjM8shNbT0kgbA8JhFuZoqIih59z2LBhREZGOvy8QoiO7aVvj+Hm4sTvp1pvpXyZjS+AmzeM+73FIaH+HtwzsQdrDqQSl2jj7d3+1+pc44Ntr3rEzoSL/HAsg/VH0m0Pzkmqmx9cJbA3eARIY40OKqewjDuW7iS7sJRld40iKsib8dFBHEzJsS/XvoOTQLgJ3XnnncTGxvLFF1/Qr18/PDw8mDBhAkeOHKkeo5TilVde4eGHH6ZLly7ExMRUP/bll18SGxuLh4cHoaGhLFy4kLKyssuusWLFCvr06YOnpyeTJk3i2LG6KyjmUiM2bdrElVdeiY+PD/7+/kyePJm9e/eybNkyHnzwweq5KaWYPHmyA38qQoj2IC7xImsPpvGbST0J9rXdShmA9CO6G9zo34J3oNWhv7miF0E+7jy35qj1FVPPAIieBodXQmXb2hyUlqMXPv6x7hhlFZXWB9duplGTk5MpT1gaa3Q0RaUV3P3+Ls5kFrBkQSyDwv0BGB8diGHA9tNZLTzD1k8C4SZ29uxZHn30UZ5++mk+/vhjcnJymD59OsXFl4qfv/TSS6SmpvLhhx/yr3/9C4Dly5czb948Ro0axVdffcUzzzzDkiVLWLRoUfVxcXFxzJ8/nyFDhrBy5Uquu+46brrpJptz2rhxI1dddRWurq68//77fPbZZ0ycOJGUlBRmzZrFH/7wBwC2bdvGtm3beP311x38UxFCtGWGYfDC2mME+bhzz0T7WikD8NML4OYDYx+wOdTH3YVHpvVm99mLfHvYxoppzA2Qlwpnt9g/lxZWVFrBxcIyhkcGcDqzgE93JloeXFlpCoStNCqJHA2Z8VB4wfGTFa1SeUUlD3wcx57Ei7w6fyjjo4OqHxsSEYC3m7PkCdvBzh6YrcS6J3WpnJYQGgMzXqj3YZmZmXz55ZeMGzcOgBEjRtCrVy+WLVvG7373O33q0FA+++yz6mMMw+Dxxx9nwYIFlwWh7u7u3H///SxatIjAwEBeeOEF+vTpw/Lly1FKMWPGDEpKSvjjH/9odU6LFi1iyJAhfPvtt9Wljq655prqx6OiogAYM2ZMvb9fIUT7t+FoBjsTLvC3OYPwtreV8qkf4MiXcMUT4GVfdYn5sRG8tyWBF9Yd5ar+wZYbdfS5RgfYBz+HHpPs/C5aVlquXgy5dXR3XJydWLzhBHOGhePr4Vp3cGEmVJRYD4Sr6wnvhL7XWB5XX3Ef6E14kx4HdzvzwEWTMwyDRSsP8v2xDP76i4HMGtz1ssddnZ0Y3TOQLSdlRdgWWRFuYsHBwdVBMED37t0ZMWIEO3deegtr1qxZlx1z/PhxEhMTuemmmygvL6/+mDJlCsXFxRw6dAjQm9quu+66y+p2zps3z+p8CgoK2LFjB3fccYf99T6FEKKG//x4kh5B3sy3t5Vy4QX44j7o0u+yusG2uDg7sXB6XxKyCvl6/znLA928oO9MHWiXt42cyFRTWkTXAA/+b2Z/sgpKeeun0+YHZ1spnVYlbDg4uTi2nnBJPnzzFGxZDG+Oh7NbHXdu0Sj/+Cae/+1J5qGrenP72CizY8ZHB3Ems4CUbMfvPWpP2taKcANWZFtacHCw2ftSU1Orvw4JubyOZmamfitj5syZZs+ZlKR/KaalpdU5v7nr1XTx4kUMw6Br165WxwkhhDknM/LZn5TNH2f1t6+VsmHA17+Hgkz45Wfg6lmv603tH0LfEF/e/OkUc4aG4+Rk4QV8zI1wcDmc+h76zqjXNVpCarZeEe7q70mPIG+uHRLGO5tPc9uY7oT618q5rqohbGmzHOgXA12HODYQPrQCSvPg6r/BzrfhvZkw9n6Y8sd6P4/Ccd75+TRv/nSKX46O5BErG1UnmFIltpzM5KZYO1+0dkCyItzEMjIyzN5XMxCtvTLbubN+23DJkiXs2rWrzseMGfqXfGhoaJ3zm7teTZ06dcLJyemyQFwIIey1Mi4ZZyfFdUPD7Dtg/ydw9CsdPHUdUu/rOTkpfje5J8fT8/nhmJXfb72uBM/Obaa5RlVqRKifDnoXTu9LZSW8vN5MlzxrzTRqihgNKXsctyq+eykED9Q53fdu1e2wt/0H3pwIybsdcw1RL1/sTeFva44yY1Aof/3FIKvv7PYJ8SHIx52tkidslQTCTSwjI4OtWy+9nZSYmEhcXByjRo2yeEzfvn0JDw8nISGB2NjYOh+BgXq39ciRI/nqq68u21G9cuVKq/Px9vZm9OjRfPDBBxZ3Yru5uQFctqFPCCEqKw1W7U1hUu8g+ypFXEyAtQuh+3gY92CDrzt7cBjhAZ68vvGk5QoSzq4wcA7Er4XSggZfq7mk5hTRycsVTzdnACI6e7FgbHc+j0vmaGru5YNzksHNV5dIsyZiNJQXO2YvTUocpO6D2LtAKZ0fPPsVuH0VlBXBu9Ngw7NQXtL4awm7bIzP4LH/7WdMz868On8ozpbeHTFRSjE+OpAtp7Lsq1XdQUkg3MSCgoK4/fbb+fjjj1m1ahWzZs0iODiYO++80+IxTk5OvPzyy7z00ks8+OCDrF27lg0bNrBkyRJmzpxJYaHutvTEE08QHx/PTTfdxDfffMM///lP3n33XZtzeuGFF9i/fz8zZsxg5cqVfPvtt/z5z39m9erVAPTrpztEvfbaa+zatYv4eDMrFEKIDmfb6SxSc4qZN9zGyiToUmYrf6uDqLlvgpNzg6/r6uzEbyb1JC4xm10JVuoKD7oBygohfl2Dr9VcUrOLCfW/PL3ggSnR+Lq78Py6WmUws5P0arCtfR3VG+YcUE9491Jw9YbB8y+/v9cUuG8rDPklbH4FllwJqQcafz1h1d7Ei9z73zj6hPjy9oJYPFyt/H9KOwjL74Av7ue3ZR8xs/ArUrd9qutMXzijX8iIam0rR7gN6t69O0899RRPPvkkZ8+eJTY2lk8++QQPD+urKfPnz8fPz4/nnnuOpUuX4uzsTM+ePZk9e3b1im1sbCyffvopixYtYs6cOcTGxvLZZ59ZXW0GmDRpEt999x1PP/00t912G25ubgwbNow5c+YAMHHiRB5//HFee+01Fi1axKRJk9i4caNDfh5CiLZrRVwyvh4uTBsQYnvw5ld1QDZ3CQQ0vqHPTbERvPb9Cd7YeJJRPSz8joscq1sQH/yfLqnWiqXmFNO1Vi5wgJcbD07pzd/XHuXnE+eZ2NvUec9aM42a/Lrqn3XSDp3L21BF2To/OOZG8PCr+7iHP8z5f7qZydcPwdtXwqSFMPFRvTIvHOpkRj6/WraLLr7uLPvVSPOVRaqU5MPyBTon382H/vnpPOtaAevfv3ycuz/4BOs25T4hl26jr4KQgU37DbUyEgg3g3nz5lms5mDt7YoZM2ZU5wNbcuONN3LjjTdaPWdCQkKd46644go2bdpk9pxKKV588UVefPFFq9cWQnQcBSXlfHMojV8MDbO+GgVwbi9sfB4GzoPBtmub28PTzZm7xkXx8nfHOZqaS/+uZgI0JycYNA+2v6krVdhZpq0lpOUWMyyybqrDgnHdeX9bAs+tPcbqB4P02985ydAt1r4TR4yBM5v0JsWGVgY6sFyvrMfeZX1c32sgYjusfRw2PqfTUua+CcH9G3ZdUUdqThEL3t2Bs5MTH949ynZK0vr/06u+d66BqPGoykrm/vMrBgcU8+yVQZCfDvlpkFfjNmWPvr+sUL8A+u1PzfPNtRKSGiGEEMKmbw6lUVhawfW20iJKC2HFPXp1afYrDQ/GzFgwNgpvN2fe/OmU5UGDboDKMr1Br5UqLqvgQkFpnRVhAHcXZx6f3pejqbms2pui852LLlivIVxT5Ggd4GSfbdjkDEOnRYQN0x+2eHWGG96Fmz7QK9dvTYLNi9tcl7/WqKS8gjuX7iK3uJxld42ke6C39QPi18GeZTD+IYgar+9zcmJA716sSOlEWc8pMOxWmPgHmPmifs7u/hZ+vw+eOqc3RWYcgYoyq5dpb+wKhJVS1yil4pVSJ5VST5p5PFIp9aNSaq9S6oBSynzdLyGEEG3SirhkIjt7MaJ7J+sDv3sask7AnNfB08bYevL3cuWXoyP5ev85ErMKzQ/qOgQCe7fq6hFpOaaKEf7mS5BdOziMwd38eXl9PCVZpoDW3kC4ZmONhkjaAeeP6goR9THgF3DfDugzHTY8A0uvgXzrVYyEdV/uPUd8eh6vzh9a3TrZovzz8NWDEBIDV/7fZQ9NiA4iv6ScA8nZlo9XCroOhYpSyDzugNm3HTYDYaWUM/D/gBnAAOAWpdSAWsP+CCw3DGMYcDMgPQaaUDoAACAASURBVHmBZcuWsXu3lJgRQrRtKdlFbDudxbzh4dYb8RxfD7ve0StLPSc3yVzuntATZyfF2z9baD6hlM4PTtgMuVaacLSgc6ZmGmFmVoRBl4x7amZ/UnOKWb/V9DfEnhxhgOABusJEYgM3zO1eCu5+MOj6+h/r0wVu+hDmvQMpu2GX7c3bwrzKSoMlP59mQFc/pva33h9A1+p+CIpzYd4ScHG/7OGxvQJRCttd5kIH6du0Q42Yedtjz4rwKOCkYRinDcMoBT4FflFrjAFUJWz5A63zt48QQjRE/Dqdc9pBfbE3BcOAecOspEUUZMKX9+u6s1OebrK5hPp7MG9YN5bvTuJ8noXSXYNuAAw4vKrJ5tEYl1aELed7jukZyNT+wew5YCqFZquGcBUnZ51P3JDGGgVZcPgLGHIzuNl4G94SpWDwjdC5l2PKuHVQP8ZncDIjn99M6mm7C2zcBzo/e+ozEFJ7nVJvwhwU5s9mW/WEA3uDszukdawqIPYEwuFAUo2vk0331fRn4DalVDKwFmh4wUghhGhNii7CJzfD1n+19ExahGEYrIhLZlRUZyIDvSwNgq8eguJsuP5tcLWjxnAj/OaKnpRWVLJs6xnzA4Ki9du8+z/Rc2tlUnMudZWz5skZ/QiuzKACZ/AJtf8CkWMg/bBeIayP/R9DRQmMsLFJzh6hMZAugXBDvbXpNGH+HswabKMLbNYp+GYR9LgCRt9rcdi46ED2Jl6ksLTc8rmcXXQgnS4rwrWZeylS+zfLLcAywzC6ATOBD5VSdc6tlPqNUmq3Umr3+fPnbV5YCkC3fvIciXYv19SFsaFvNbdx+5KyOX2+gOtH1F7/qGHvhxC/Bq56pllKL/Xq4sM1A0P5YNtZ8ootbOwZfrtekUyJa/L51FdqThEBNZppWBId7MvYoCJSjU6cvlCPBkcRowEDknfZf0xlJex+T5egM7OqWG+hMZCdqEuxiXrZl5TNzjMX+NWEHtbbmFeUw6rf6gB2zhu6aooFE6KDKKsw2HnGxjtbIYP0/5sO9LfdnkA4GaiZnNSNuqkPdwPLAQzD2AZ4AEG1T2QYxhLDMGINw4jt0qWL1Yu6urpSVCRFn1u7oqIiXF2lbqRox/JMv+5S4jpkF62VcSm4uzgxI8bCylTWKVj3JPSYBGPua7Z5/e6KXuQVl/PxjkTzAwbPBzcf2N368lTTcoqrWyvbMtArhzSCePGbejQ26hYLyql+6REJm+DCqfpvkrMkNEbfph92zPk6kCWbTuHr4cLNo2zU3978in6xM+sV8LfyQhUYGdUZNxcntthKjwgdDIVZkJdaz1m3XfYEwruA3kqpHkopN/RmuNp1aRKBqwCUUv3RgbDtJV8rgoODSUlJobCwUFYdWyHDMCgsLCQlJYXgYBuJ/EK0ZVUrwhUlcG5fy86lmZWUV/DV/nNMHxiKn7ki/hXlsPI3dq1IOdqQiADGRwfyzuYzFJeZKdXl7qsbQhxa0eryu1NzigkLsJ4WUcUt/xzewT345nAauxPs/D7cffXKfH0C4d1LwbMz9L8O0CXevtyXwl3v7eTFb47ZONiMqkBY8oTr5WxWAd8cSuPW0d3xcbfS6iFlD2x8QefD29E8xsPVmRGRnWTDnBk2G2oYhlGulHoA+BZwBpYahnFYKfUXYLdhGF8BfwDeVko9gk6buNNoZPTq56f33p07d46yso5V066tcHV1JSQkpPq5EqJdyku79HnSdl2ntYP48VgGOUVlzBtuYbXp55d1dYAbltq/mcuB7r0imtve3cGqvSncYm71bOTdsOc9nSvcmE5rDpaaU8yQiLrNNOqorIDcFKLHXk9wtjvPrT3KinvH2d48Bbqxxv5P9IsVZxt/6vPS4NgajNG/Y3dKISv2HGfNgVTySspxc3Ziy8ks7p3cy3pHs9p8QsArSPKE6+ndzWdwdlLcNT7K8qDSQt2+3DcUZv3T7nNP6B3ES9/Gk5VfQqCPu/lBValNaQegz9X2T7wNs6uznGEYa9Gb4Gre96canx8Bxjt2ajoYliBLCNGi8s7plTLPAEjc0QS/6Vqvz/ekEOzrzoToOplukLwbfvoHxNzUsFJbDjA+OpCYcH/e+ukUN8VG6C5sNYXGQLdRerVzzH0Obe7RUNXNNOxJjchLBaMC187deXRaH55ceZB1h9KYaSlNpaaI0bDrbcg4rGsrW5G9dSkBleXctq8/W37chpebMzMGdeX6EeG4OTtxw5vb+O5IOvNsNVOpSSn985cVYbtdKChl+e4k5gwNJ8Tav4+qWt0LvqpXre5xvQIB2HY6i9mDw8wP8vCHTlEdasOcdJYTQghrclPBL0xvIkra3mE2kWTll7AxPoM5w8Jxqb1hpyQfVt6jfy4zX2qZCaLbwd87uRcJWYV8cyjN/KCRd0PWSTjTOtrGpueaKkbYkxqRk6xv/SO4MTaCPiE+/OObY5SWV9o+NtJ6Y42CknL+tzuJW97aTP7Wd9lcMZDKTtG8fOMQdv3fVF6+aQjjegUxPLITYf4erD7QgJzR0BjIONrhOpU11IfbzlJcVslvJvW0POjEd7pW95j7oecV9Tp/TLg/vh4utvOEqzbMdRASCAshhDV5qeDbVa+wFWbpoKoD+Gr/OcorDfMtlTc+DxfOwNw39Up5C5o+MJSeQd688dNJ8/tJBszRK/q7lzb/5Mw4l11VOs2OFeFsU+XSAL3avWhGf85mFfLRDjvaJ/tHgG/YZdVOKisNtpzM5NHP9hH7tw08/vkBIi9so5vKpP+1D/PJb8Zw/YhueNfITXVyUswa3JWfT5wnp7CeAW1ojKlT2Yn6HdcBFZdV8MG2BKb0C6Z3iK/5QQVZplrdA+CqP5kfY4WLsxNjewbariccOlhvgi0tqPc12iK7UiOEEKLDykvVf9Ajx+ivE7dDUO+WnVMzWBmXwsAwP/qGmvmjfPJ76D0NoiY0/8RqcXZS/PaKnjyx4iCbT2YysXetikSuHjDsVtj+hs6F9a1HPd4mkJarqyFZa6ZRLccUCJvyryf37cK4XoH86/sT9A72pbSigqLSSgpLyykqq6CotILC0orqz69XfYk4tok/vLeTotIKEi8UkppTjK+7C3OGhXHDiG4M3/IBnAshcMRci9OYNTiMt38+w7dH0rgp1s4Od3D5hjlHlGRrxz7fk0xWQanl1eCq7nFFF+G2FQ2u1T0+Ooj1R9JJzCq0XBc8dBBgQPoRiBjZoOu0JRIICyGEJRVlkJ+hUwACe+t8vKTtukZtO3Y8PY+DKTn8abaZ4KW8VOcn9p3R/BOzYM6wcF757jhvbDxVNxAG3SBi6791B64rFjb/BGuo14pwTpJezTZ1eVNKt16+9j+bue1dyxUh3F2c8HJzJtCpBw+X/wg55zA8QxgaEcCimV25ekAIHq7OesX5xHqY8Cg4W94IN6SbP906ebLmQGr9AuGqTmXpB4H59h/XwVRUGrzz82mGdPNndI/O5gft+xiOrYZpf7n0AqMBxpvy/becyiQy0EJ5tuoXMAckEBZCiA4tPx0wdGqEk5PeiZ/YgNa1bcyKuGRcnBTXDTWzoSbrJFSW67dnWwl3F2d+PaEnf197lH1J2QytXZEhsBf0vBL2LDMFfS33py8tpxh/T1e83OyYQ05ynWocg8L9+fqBCeQWleHp5oyXmwuers6mz53xdHXGqWrTYEoQvL2UZVMrYdDYuueP+0CvNI64w+o0lNLpEe/+fIaLBaV08naz75t1doHg/h0q37QhvjuSTkJWIf/55TDzFUEuJsC6J6D7eBj7QKOu1auLNyF+7mw5mWm+0grotBoP/w7zvEmOsBBCWFJVOs3XtEs/crReDS2wkWPXhlVUGnyxN4XJfbsQZK7EUsYRfdvK3uq+ZXQkfh4uvLnxlPkBI++G3BQ48W3zTqyW1Jxi+1aDQa/Y+tddgR0U7s+46CCGRXaib6gvkYFedPF1x9vd5VIQDHplz9XLfD3hijIdCPeeBgE2GjcA1w4Oo7zS4NvDFjYlWlJVOaKDbDJtiCWbThHR2ZNrBppJ26ms0KXSlNI5+U7WuxHaopRifHQQW09lUVlp4TlRCkJiOkzlCAmEhRDCklxTVzk/UyAcYcoTrk+jgjZmy8lM0nNLLJfKyjgCTi76be9WxMfdhTvGRfHtkTROZuTXHdBnht48tqtlO82l5hTZFwgbhk6NCKhHKkJtzq4QPsL8v9f4dZCfZncnuYFhfkQFetW/ekRojKlTWT0D6A5id8IF4hKz+fWEnnWrswBseU2nY818ya4XLPaYEB3EhYJSjqblWh4UGqO7AlaaaVbTzkggLIQQllS1GfU1pQiEDQNnt8t24rc3K+OS8fNwYUo/Cx0jM45CYDS42Pn2eDO6c1wU7i5OLNlkZlXY2UWnAJz6Hi6cbv7JmaTlFBPqb0fptOIcKM1vfKOSiNGQeqBuBYDdS8GvG/S2r2lCVXrE1lOZZOXXo9W4dJiz6q1NpwnwcuXGWDPPc+45+PE5GPAL3TLcQaryhLda6zIXGgNlhbo6TDsngbAQQliSlwpOruClC9Hj6qGD4XYaCOcVl/HN4TSuHRKmN1OZk3FE5322QoE+7syPjWDV3hRSc4rqDhi+AJSzzhVuAcVlFWQVlBJWr4oRjVgRBh0IGxW6JW+VC6fh9I/6hUE93mqfPTiMSgPWWarZbE5VpzLpMFfHqfP5bDiazoIx3c3njMd9CJVlMPXPDm0GE+LnQXSwj/UyatWtlg847LqtlQTCQghhSW6qLrflVONXZcRoSN0HZcUtN68msu5QGsVllZbTIkoL9MadVrRRrrZfT+xJpQHv/mxmJcsvTFe72PtfKK/HqqaDVDXTsK902qVmGo1Steu/ZnrEnmX6BcGw+lU/6RfqS88u3qypT3qEhz8EdJcVYTPe+fk0bs5OLBgXVffBinKIex96TYHOVhpsNND4XoHsPHPBcnOWLv10ClQHeN4kEBZCCEvyzl3aKFclcoxuEnBub8vMqQmt2JNMjyBvhkdaaJKRcUzftuJAOKKzF9cNCePjnYlkF5bWHTDybp2zeuTLZp9bak5V6TQ7UiNqNNNoFM9O0KX/pWon5SX6hUC/mZdy3+2klGL24DB2nMkiI68eLwSl1XId5/NKWBGXwvUjupnflHryO725084c7voaHx1EUVkFexMvmh/g4g5BfTvEhjkJhIUQwpK8tLrBQkRV69r2lR6RdKGQHWcuMG9YuPkSTnCpYkQrTY2o8tsrelJYWsHiDScoKq212afHZL3C1gKb5tKqAuEAO1MjnN3BK6jxF44YBck7obISjn6tXwiMuKtBp5o9uCuVBpZbWpsTGtOhOpXZ4/2tCZRVVHLPRAurvbuXgk8o9LmmSa4/plcgTgq2nLKRJ9wBXsBIICyEEJbkptZdEfYO0hUT2lme8Kq9KQDMHR5ueVDGUXDxhE5RzTOpBuoX6se1Q8JYtjWBEX/7joc+2ct3R9IpKa/QaS6xv9IvZNIPN+u8zpnylkP97AyE/btdnpbTUJFj9Oa7zHgdYHWK0nWVG6BPiC99QnxYvb8e6RGhMVR3KhMUlpbz4fazXD0ghB5B3nUHZCfCie90TruVRieN4efhyuBuAWyxmicco/dJtONykSCBsBBCmFeSB6V5dQNh0PWEk3boFbZ2wDAMVsYlM6ZnZ7p1stB2FfSKcJe+ja5l2hwWzx/KJ/eMYc6wcH4+cZ57PtjNyL9tYOHn+9nmNx3D2b3ZV4XTcorx83DB271hzTQarOpdjD3vw9ktejW4EQH2rJgwdp29UL3CbVNV5QjZMAfA8l1J5BSVWW6nvOd9vTlu+IImnceE6CD2JWWTV1xmfkD1hrn2/bxJICyEEOZU1T31M9NdLWIMFF3UzTXagbjEiyRkFXK9pU1yVTKOXKoC0Mo5OynG9grkubkx7Py/qbx310imDghh7cE0bvnvCdZUjqEk7mP2nEi03FjAwc5lFxMWYEd+MOgc4cbmB1fp3FOnWOx8S1dBGXZbo043a3BXDAPWHrRzVbiDdSqzpryiknc2n2FE906M6G6mnXJFGez9UJe1c9Tzb8G46EAqKg12nrlgfkBIxyh9J4GwEEKYU9VMw9dMt6dIU7vadpIesSIuBU9XZ2bEWNk8VZClW0638vxgc1ydnbiybzCv3DSU3X+cypu3DedY+I24VxaxYtliJvzjB55be5SDyTkYTdgBLS23yL6KEeUlutlFYytGVFFKp0cYlbomrXfj8o6jg33oF+rL6gPn7L9+SDvJN804Ct8sgjIz5fnssO5QGskXiyyvBsev1f/PGpjDXR/DIzvh4epkuYyad6Cuod7ON8xJICyEEObUbqZRU2AvvcJmIxAuLC1vgok5VnFZBav3n+OaQaH4WHvL/vxRfdsGA+GaPFyduWZQVx67+zYqggfxROBm+of68t6WM1z7n81MefknjqfnNcm10+xtr1z1IsxRqRGgA2GAWMcEWNcOCSMuMZuUbDsDwtBBOke4LXcqqyiHlffA9tdh59v1PtwwDJZsOk3PIG+m9Q8xP6i60cm0Rk7WNg9XZ0ZGdbbdWKM9vICxQgJhIYQwx9qKsFI679JK5Ygv96Uw7C/fkXyxsIkm6BjfH80gt7icedY2yYFeCYNWXTqtXpTCedTd+OfG8+5U2PV/U3lhXgwpF4tYsSfZ4ZcrKa8gM7/UvtJpjmqmUdOIu+DmT6D7eIecbpbp3YO19tYUDo2BsoK23als51s6KPSPhJ9f1ulR9bDtdBYHU3L49cSeODmZqcySdQpOb6x3o5PGGB8dRHx6nuVyeKExcD6+XdZNryKBsBBCmJOXBu5+4O5j/vHI0bpDV35GnYeqVn5Kyivr13ygBayISybUz4NxvWy8XZ5xBDwCzG8ebKtibgI3X9j1LgFebtw8KpIeQd6czMh3+KXSc3QDj/o103DgirC7j64d7KAOZVFB3gwK92O1vXnCbX3DXE4y/PB3nbt7y8e6CsfmxfU6xZJNpwnycbP8orOBjU4aY4Ktdsuhg3RnwvPHmm1OzU0CYSGEMMdcM42aqvKEa3bsMolLzObwuVxcnJT9G4pawPm8En46fp45w8JxNrdCVVP6Eb0a7MBWry3O3QeGzIfDq6BQbxiKDvbh5HnHB8JVLZ/D6tNMw5GBcBOYPTiM/UnZJF2w412Ptt6pbN0TOsd65j91UD94Pux4E3JS7Do8Pi2PjfHnuWNslPn25eUlsO8j3fmwno1OGmNAVz8CvFwtl1ELHaxv2+rzZgcJhIUQwpzcVOt/kLoO0Q0PzOQJf7AtAV8PF+6b3Iv9yTn2BQot4MdjGVRUGswZZiYPuibD0KkRbTw/2KzYX0GFqdsa0CvYh6QLhRSXOTaXtaqrnH0rwkngE6K7e7ViVekRa+x5sVfVqawtBlTH1sKx1TD5CejUXd935VM6MN74vM3DS8sr+cc3x/B0dea2Md3ND6pqdNJEneQscXJSjOsVyJaTmeY3inbqAa7ebfN5s5MEwkIIYU5emvUVYRd3CB9eJxA+n1fC2oOp3DgightG6BzPdYda56rw6cwCXJ0VvYN9rQ/MPQclOe0zEA4ZqMvh7XkPKiuJDvah0oAzmY7tgnapvbK9zTSatnSWI0R09mJIRID91SNCB0FaG6tAUJIPax/X74aMfeDS/Z26w8h79CpuhuW0gZzCMhYs3cEPxzJ4bHpfOnm7mR+4+71GNTppjPHRQZzLKSYhy8wLdicn/X+kHVeOkEBYCCFqq6zU5ats5cNGjIbU/VB66Q/IpzsTKaswuH1sdyIDvRgU7seag/VoR9uMzmYVENHJy3ZaRHvbKFfbyLt1vveZjfQO1jnhJxycJ5yWU9QyzTSa2OyYrhxKySXBnhcOoTE65ajASpWC1mbj85CbDLMX1+3yNvEP4OYD3//F7KFJFwq5/s2t7Dl7kVfnD+HuCT3MX+N8PJzdDCPudEwnwXoab9ofYLGMWmiMfgHThKUFW5IEwkIIUVvBeagsN99Mo6bIsVBZBufiAF0s/6MdiUzq06W6derMmK7sT8puldUjzmYV0j3QSie5KhmmVsTtcUUYdG1dr0DY9S49grxxUjh8w9y5nGL7KkYYhg6Em7iZgqPMHFyP9Ii2tmEu7SBsfwOG36E3x9bmHQjjfw/xa+q8M7Q/KZu5r28hI7eYD+8ezdxhVl7Y7FmmG50MbVyjk4bqHuhFeIAnWy0GwoP0O0LZic07sWYigbAQQtRWXUPY1orwKH1r+iP43ZF00nKLWVAjD7Aqj3JdK1sVNgyDs1kFdA/0tj0446j+WXiZ6YTVHri4625r8evwKEonorMXpxy+IlxsX35wQSaUF7eJ1AiA8ABPhkcGsNqe6ihtqVNZZQV8/TB4doKpf7Y8bsy94BMK3z1TvWK6/nAa85dsw9PNmZX3jWNMz0DLx5cV6fSK/teCTxeHfgv2UkoxPjqQraeyqDDXZbGNbpgrKa9gx+ksFm84zs1LtlkcJ4GwEELUZm8g7NVZbwAyVY54f1sC3Tp5cmW/4Ooh3QO9GRjmZ9+KWTPKzC+loLTCzhXhI+13NbjKiLv05qc97xPdxcfhK8KpOUWEBdiZHwxtJhAGXT3iaGoup2xV26jqVNYWAqo9yyBlN0z/u/UXgG7eMPlJXVM8fh1LN5/ht//dQ99QP1bdN55oW/n3h7/QpdiaeZNcbeOjg8gpKuPwuZy6DwYPAOXU6p+3sopK9py9wH9+OMGt72xnyLPrmb9kO699f4K8YsvNjSQQFkKI2qqaadhTxihyNCTt4HhaDttPX+C2Md3r5NzOjOnKvqR6dOFqBokXdE5nlK0V4coKncPYXvODq3TuAdFXQdz79Any4ExmAeUVlQ45dVUzjVC/+jTTaBs5wqD/fSuFfTWz28KGubx02PAs9Jiky6TZMux2jMBoMr54ir+vPsjVA0L49J4xBPnYUfVj91II7A1RExo/70aoqiO+xVw9YTcv6Nyr1W2YK6+oZG/iRV7feJIFS3cy5Nn1XP/GNv65/jhZ+aXcPDKSt24fwd6np7HmoYkWz2NH1r4QQnQweWl6BcQ72PbYyLEQ9wHf/LgRdxc35sfWXcmbFdOVl76NZ93BVH49sWcTTLj+EjJ1znKkrRXhC2f0W/XtPRAGvSr36S+ZVLmNNyrCSbpYVJ3r3RgZubqZhn0VI5qgmUYTC/X3YGT3zqw+cI6HruptY3AMnPpB181treXhvn0Kyotg1it21c0urIBlLrdxX/GfebXfUWbdeq3tDaigXxAk74Tpz7V4fe4uvu70C/Vl66lM7p3cq+6A0Bi9Qt7Cki4Usu5QKttOZbEr4SL5JXqlt3ewDzeM6MbYnoGM7hlIZ0vVOcyQQFgIIWrLO6eDYGc7fkVG6E00F45u4tohC8yWR4oK8mZAVz/WtqJA+GxWAU4KunWysUqZcUTftvfUCIDe0yF4ICOOvoQ/f+NkRr5DAuFzpncCutqTGpGdpCsReHZq9HWb0+whXfnTl4c5np5HnxAr6QChMXoj6vljuhZ3a3Pyezj0OVzxJATZCOrR5RJ//f4uDqb05sbgGK7LWgYVD4GTHav/e97TtciH3NL4eTvAiO6d+Gr/OSorjbotoEMHweGVUJQNngHNPjfDMPh8TzJ/+vIwRWUV9OzizXVDwxjbM5AxPQPp4mvjRVXqfosPSWqEEELUZquZRk2de1Lk1pkY4xh3jI2yOGzW4K7EJWZXB0Ut7eyFQsICPHF3MdPlqqaMo4CCLn2bZV4tytkF5r6Ba8kFnnVd5rA84bTc+tYQ7tbiK4T1dc2gUJwUtjfNteYNc2VFsOYPOg1gwiM2h59Iz2Pu61s4np7PkttH0mXuC/pF9I63bF+rJB/2fwYD57aaTaiDu/mTV1xOQpaZUnhVG+bSDzfvpID8knIe+Wwfj39+gCER/vy88Ep++MNknpsbw7VDwiwHwQVZuurHGxPgrUkWzy+BsBBC1JaXpjf12MEAdlX2ZbzrSWK6+VscN7OqesSh1lE9IsHu0mlHdKF/t8avjLYJXYegJi1kjvNWPE+udsgpL3WVszNHuA1tlKsS7OvB6B6BrD5wznyHsiqdW3Gnsp9fhotnYPar4Gr9RcvWU5nMe2MrJeWVLP/tWKYOCNF5vr2nw+ZXqlt2W3RoBZTmQexdDvwGGmdwN73SeyDZzIa50JZ5AXMoJYfZ//qZr/af49Fpffjo12OI6Gzl91ZFOcR/A5/dBi/3hW+e1C9wZ/7T4iESCAshRG1558A31K6hW05m8VNRT0Ir03QAbUGPIG/6m9IjWoN6lU4LGdj0E2pNJj7KadfezE35J+Sfb/TpUrOL8PVwwaedNdOobdbgrpw+X8CxtDzLg5ycIWRA69swdz4eNi/Wm+N6XmF16Io9ydyxdCehfh6sum/c5S+Apz4Dxbmw+VXr19u9VOfdR5ipT9xCegf74OHqxP7k7LoP+oSAV1Cz1YA2DIOlm88w9/UtlJRX8ulvxvLQVb0t516fj4f1T8OrA+CT+bqk5ejfwr3b4DcbYdQ9Fq8lgbAQosMoLqugoMRyGR1Avz1adNHu1Ij3tyVw0t0UKNYqql/bzEGh7Dl7kdSclk2PyCksI7uwjChbK8LlJZB1smPkB9fk7MraXn/Cs7IQY/XDje6olZpTbF9aRGkhFGa1mWYatc2oTo+w0XI5NEavLLaWTmWGAasf1e96XP13Mw8bHE/P4/WNJ7n+ja384X/7GRnVmc/vHUe3TrX+D4UM1Dm/O966tPGxtpQ4SN2nS/a1ohQYF2cnBoX5m18RVurS89bELhaUcs8Hu/nL6iNc0SeYtQ9NZFQPM+kjxTn6BcXbV8H/GwXbX4fwWLj5Y3j0qC59F2J7k68EwkKIDuOJFQeYvngTmfkllgdV1xC2nRqRfLGQ74+mM3jkJHDxqK4nbElVF66Wbq5x1lQ6LbKzjRXhzONgVHS83YxpSQAAIABJREFUQBjw7z6Yf5bfiDq2Gg7+r1HnSsu1s6tcdcWIthkIB/q4M65XEGsOpFpPjwiN0Z3KqkrFtbT9n+gWx9OerW5qUVpeyc8nzvPnrw4z6aUfufrVTbz4TTwl5RU8Pr0vy+4ahb+nq/nzXfmUvv3xefOP73kPXL1giB2l2ZrZ4G4BHD6XY750YGiMfoeooqzJrr/jdBYzXvuZTcczeebaAby9YMTlG5ArK+H0RlhxD/yzD6x+BEoL9AuYR4/CLR9Dv1l122FbIVUjhBAdRsrFIpIvFnHff+P4769H4+ZiZi2gKr3BjtSIj3bolqM3j42GtFhItNy9CKBXFx/6hfqy9mAqv5rQo97zd5SELF06LSrIxopwxlF92xFKp9XSK9iHZypmcX/XePzXPqbzP2213LbgXHYxA7r62R7YBptp1DZ7cFeeXHmQw+dyGRRuIWe+5oa5gMjmm5w5hRdg/R8hYjRZfebz455kvj+azs8nMskvKcfdxYkJ0UHce0U0U/oF29cdMCBCvxW//XUYe//lq5LFOXBwBQy6Hjws7yloKUMi/Fm6pZLj6fkMCKv1bzY0BipKIfOEXSut9VFRafCfH07y2vfHiezsxcr7xl3695N/Xpfcq/ooyNA/u6G3wrBbIWx4o1bWJRAWQnQYucVldPF1Z2fCBf705SGenxeDqv0LtLqZhvWgp7isgs92JTFtQAjhAZ66scbmxXp1wsrGspkxXXnlu+P2t9xtAolZVSvCtgLhI+DkCoHRzTCr1iU62IdKnNjQ5xmu33kzfPUg3Pp5vf/glpZXkplfYt9z3QabadQ2fWAof/ziEKsPpFoJhAcASgfC/WY16/xqMgyDnK+exLcom8cK7uCL537AMCDEz51rh4QxtX8w43oF4elmo7KKORP/AHEfwvd/gV9+eun+A8uhrKBVbZKr6dKGuWzzgTDo582BgXB6bjG//3Qv209fYM7QMP52XV980vfAhu91Obu0A3qgVyD0mgJ9roF+s21uaLSXpEYIITqM3KJyruzbhfuv7MWnu5J4f2tC3UF2tldecyCVCwWlLKgqmRYxRqcRpOyxetyl6hEWNs2VFelanU0oIauQYF93vNxsrIWkH4GgPvV6m7G96OLjjp+HC3EFgTDtL3ByA8R9UO/zpJtKp4XZmxqhnG239m7FOnm7MT46yHr1CDdvCOzVopUjissqeGrxWwQc+4y3y2ZyUnXn91f15usHJrB90VU8Py+Gq/qHNCwIBl0SbcLDcHwdnN2q7zMM2P2erp8cNtxx34wDRQV64efhwn5zecKBvXXd46rA1AF+PJbBjMWbyE46xqrYQ7xa+Tw+r0bD+7Nh67/B3RemPK03vD12Eq5/B2JucFgQDLIiLIToQHKLy/DzcOUP0/pyPD2fv645SnSwLxN6B10alJem8/dsvG35wfaz9OrizbhegfqOiJH6NnGHbs1qQXSwD31DdHrEXeNrpUcUZMG703RL09/+3GQbaRKzCm23VgadGhExqknm0NoppYgO9tG1hH/xazj2te441nMydOpu93kulU6zs5mGX5h9jVxasdmDu/L45wfYffYiI6Ms1MgNjdGbxlrIntMZ3HXxX+R4dmXuA6/xu6BAx19k9O9g5xL47hm4ez0k74KMwzB7cavaJFeTUorB3QI4YK5yhLOL3i/ggFbLZeXlfPHpO5QcW88at0N0dU6HQ+hSjUNu1u3OoyaChx0pRY0kK8JCiA6hrKKSwtIK/DxdcXJSvDp/KNFdfLjvoz2cyaxRQD7XVDrNyh+q/UnZ7E/KZsHYqEupFZ6ddC6tjTxh0KvCu89erF4t1BMshk9/CRdO6ZUyGyvLjZGQVWC7hnBxLuQkdsiNclWig304dT4fnJzgF/8PUPDl/XrDjp2qKoTY3V65DadFVLl6YCgBXq7c9s4O/vX9CYrLKuoOCo2B7LM6Z7YF5G9bSh+nFNxnv0hIUwTBoF/QTl6k2ygfW6NXg9189YpmKza4mz/xaXmWnzcHVPw4+slT3HjyCW5020pwr+G6zu9De+H3+2H2KzplphmCYJBAWAjRQeQV67Jpfh56tc3H3YV37ojF2Unx6/d3kVts2gmdl2qzYsQH287i7ebMvOHhlz8QMVqv+lSa+QNSw6zBoRgGrKuqKVxZCV/cC0nbdcDl6gV7P6z/N2mHwtJyMvJKbAfC5+P1bQfcKFeld7AvmfmlZBeW6k1d1zwHCT/DrrftPkfVinDXAHtSIxLb9Ea5Kv6erqx9aCJT+4fwynfHmb54Ez8cS798UNWGuRboVEZJPqPOLuGI6yA8Bl3btNf6/+ydd3hb5fmG7yPJe8/YiWdiZ3okcYKzSAg0gYRNCyUEKNBFW1p+LaWle1CgLQVaoLSUFmjZlEJLacJKQsjeezvesR3bsi15ydY4vz8+ybFjjeNEtuX4u6/Ll0A6kj45svSe93ve55m+UsiLPvqJiCguuFFs9wcwBWmx2Bwqh2vN/W9MyRcWf148031iqmZy6Qus1c8j5IeV6Fe+LoYL44cnfl4WwhKJZFRg7hSFbnQvy6P0+HD+dGsRFcYOvvnqHuwOVRTCXjyEjW1d/Hd/DTfMTCMq9CztbMYc6DKfcVvwQE5yFBPHRLLKZaO29pfiS3LJL2HGrTD1OjFZ3u0m6vQ8qWwSjhE+wzTqnQWKn6fDRxI5yZEAZ6KWZ9wGuUvFVndjiabHqDNZiArREKbhsIvdiAugIwwwNjaMP66cyctfLMagU7jrxZ186e87qHQ6lgxXUhlAx6dPEqe2cHDqfYMvUdAb4LKfQVMp2Cww667BfT4/UJguZGH7q9zII/zw76Z+/AtUVWXL+P8DQ7DvOwwyshCWSCSjAlfHN/qs4nXO+AR+ce001h9v4NerDoO51qt12hs7q+i2Obh9rhudqCslqsp7sAYIecSOiibMG/8iUqhm3QXzviVunHGriF89/K62FzcAyhud1mk+C+EjIgo3ZpjtrYYRVyF8wlUIKwpc/SQYQkQH30fnH4Q0QpM+uO00OGwjNkzDEwtyE1l970J+sGwym08a+cwT63nio+NYQpNEUtlQF8JtDQRve4rV9tlMmLl4aJ5z8pWQuUD8uArJACYlOpSkqBD3wRqulMlzHZg7tRvlwJv81baMiZMC4yRbFsISiWRUYO50SiPcmOCvLM7k9rmZ/HPjAbB3eZRG2B0qr2ytZO74BHLHuNnejMuCyBSfCXMAV+anslDZR+SaByBnCSx79Ex3KnOe2Cbc87Lm16eVCpd1mi9pRP1hSJ4s9LGjlHGxYYQG6c50hEHsFiz/ndB9bn7K52PUmizaZBEtI99D2BPBBh1fXTSBtfddwuXTUvjDmhMs+f2nGKMmog51Ifzpoyi2Lp7RraQwbYh8fBUFbntb/IwAFEWhMC3GfdRyaAzEZp7bwJyqwgc/ojM4nj/ZrmHO+EHSZg+Q0fsJJ5FIRhU9HeEw91vUP7lqKpdniAGQk13uNXxrjpzmVEsnX5jnwTVAUYSfcKX3hDmAXLWcZ4KfpEKfBTe+0NcpQFFEV7hiIxhP+nysgVDR1EFceJDnVCwX9UdG9aAcgE6nMD4xsm8hDGLYacrVsO4hYTHnhVqThdTogXgIX3iFsIuUmFCeWjGDV79cTKhBz1un4rDVHqK8fogG5ppKUXc+z3/1l5EyIR+DfghLIEOI+BkhFKTFUtrYTqvFTYrcuUYtH/kvVG7m7dg7iIlNIC1OwwniECALYYlEMiro0Qifret1EqTX8ZOFwkz+4Q0malo6+x3z0tYKUmNC+cyUMZ6fKH2OGHpyBXO4XUwNvHITjuAoVrR/m/puN2sqXAGKDva+6vlxzoEKY7tvfXBbA7Q3jOpBORc9Fmq9URS48gkIiYZ/3+0xctYVppEaOzrCNLQyb0Iiq+69mEkFcwnCytf/8Aa/++AYnd2+pSbnxdpfoeoMPNR+LRf3tkyU9KMgLQZVhQOn3JykpOSLE/SBzDDYuuCjn6ImT+VJYzHF2fH9w4yGCVkISySSUcGZjrDnTmhkdwMAVbYYvvyPnX2+mE82tLHhRCMrizO8d5IynDphT/KIrlZ45SboasV43cvUqfF8cNDNBHb0WMj5jCiENWhRtVLe2OHbMaLe2eWUhTA5yZGcaumko9vW94bIJLjqCajdBxsec3vf02YLqjoA67SwOAiJ9MOqA58gvY5LFl0GwIqMFp5eV8JnHl/PR4dP+7jnOVKzBw7+i0OZt9FAHPNzZCHsjTMJcx4KYVSfuyF92P4cNJdRc9GPON1up3i8B3/pYUAWwhKJZFRg7rShUyDCW1KU0xLohzddwuFaM999a19POtZLWyoI0it8fraP4bGUAmF/5q4Qttvgn3eIQvOmF8maWkxOciT/O+AhZW7GrdBaAyfXaXiFvumy2ak1dWpwjHC6XshCuGdgrrTBTfdr6jWQfxN8+ijU7O13c53ZFaahUSM8CrrBfUgUSWW3ZbfyxlfmEBVq4Csv7RTezf5EVYXTR1g8z6tXMzYmlPGJGgJlRjHxEcGkx4e5D9bocY7QODDXboT1v4WcJay1ifsGij4YZCEskUhGCWaLleiwIO/bceYaCE/gkmnpPHDFZP63v5an1pbQ3mXjX7uquTI/laQoHzo/fRCMK+rvHKGqsPp+EdV75WOi24twj9he1kRDa1f/x5q4DMIT/OYpXN3ciUMVMapeqT8MYfEQmeyX5x3J9LNQO5vlv4WIJHjnbrB197nJ5SE8VnOYxoWrD3aLPkgMZNYdoHh8Ai/eeRGqCqv2ezgxPFdOroWy9TgW3s/aMgvzcxIDZls+kClIi2VflZuOcEy6GJrTOjC3/jfQ3QZLf8W2UiMp0aFkxPv4DBpCNBXCiqJcoSjKMUVRShRFecDN7U8oirLX+XNcURQ3pxASiUQyfJg7rR71wT30CtP4ysLx3DBjHI9/dJzvvLmX1i4bt83N0vZkGXPEMElX65nrNj8JO5+H+f8Hs+7sufrK/FQcKrx/yI08whAMBZ8XqVTtRm3P7QWXY4RvacQR0Q2WxQJZCRHodYrnQjgsTkTmNhyB7c/2uanWqTPXZJ9mqhp9hTD0SSpLiQmlKDOOVe6kQueKwwEf/wxiMzmY+llMnda+keoSjxSmxXCqpRNj21kn6YoiAlG0DMw1HIcdf4WiL6AmTWJbWRPF4wNHHwwaCmFFUfTAH4FlwFRghaIoffbLVFX9tqqq01VVnQ48BYwMjxCJ5ByxWO18/tktvLKtYriXItGI2WLz6Bhx5qCanjANRVF4+IZ8pqfH8sGh0+SNi2ZmRqy2J0ufA6oDqneK/z/0Dnz0U5h2vTDX78XEMZFMSIrw3AWbcSs4rHDgn9qe2wsVRg1hGqoqCuFRHKTRm2CDjsyEcM+FMMCkK4QF3vrfikFDJ7UmC5Ehhv7BK2djMYkgltEmjQBRUHU0Ch9lxA7JkVpz39jz8+HgW6Jgu/QnbCgTJ6ZSH6wN7zrhPJEK6Gt+4aOfCqnYJT+ktLGdhtaugJJFgLaO8EVAiaqqpaqqdgOvA9d6OX4F8Jo/FieRBCr/3VfDtrImfvzvg3zorpPnidOH4I1bhydWdJSjrSNcB1FnUuVCg/T85bYiLsqK574lk7R3MdJnAwpUbRNWam9/VYRtXPfnfr68iqJwZX4q28qMNJ7deQFhYD92hpBHOPXK50qFsYPIEAMJEV7SnExVIsxjlFun9SYnKZISX7rVyx8Gawes+1XPVbWmTu2DcnDBhWlo4qyksivyRJjNKk+6+YFg64K1Dwrdft5n2XiikSmp0SRGjhwbs+Ekb1wMioJ7P+GUfPF+byrz/ACl6+H4alh4H0Qmsa20CYDi7MAZlANthfA4oKrX/1c7r+uHoiiZQDaw1sPtX1EUZaeiKDsbGhrcHSKRjAhe3lrB+KQICsbFcO/rezng7ozZHR/8UHgpPneZ322xJN4xW3wUwnarsAyL6huvnBwdypt3z2Xx5AHoZUNjRAF75L/w+gqIGQc3vwZB7oui5QVOeYSnLeEZtwo9Xu0+7WtwQ7mxnYz4cO8FvRyU60dOciTlje1Y7Q7PByVNhNlfht3/6Cnq6kwWbbKICzhMwycpeeLS+TsbFxvG9PRY/xTCO/4GLZWw5Bd02lR2VTSzICewupGBTGSIgZykSC/OEXgemHPY4cMfiWTK4q8BsK3MSFJUCNkBNqiopRB294npqS1xM/CWqqpue+Wqqv5FVdVZqqrOSkpK0rpGiSSg2FfVwr5qE1+Ym8VzX5hFfEQwX/z7Dre+s30o3wiln8CCb0PaLBHR+p97wOrjfhK/YO70IY1orQPUHmnEeZNeLIpXVYWVb0GE5y/gSWOiGJ8U4fnLP+9zYAg976S5SmMHWYkardOSJp/Xc11I5CRHYnOoPRprj1zyfQiNhfd/AKoqwjS06oNhdBbCoTEQm9FHb3plfiqHasy+f9/esJiEm8f4S2DCpWwvb6Lb7mBBrqw9BkJBWiz7q1t63HN6SJoMOoPngbl9r4l/0yU/h6BQVFVla6mROeMTAkofDNoK4Wqg919nGuDJKf5mpCxCcoHz8tYKwoP1XD9zHMlRoTx/x2w6u+3c9eIO9yk8IIqhtQ+J+N1F34fb/g0X3ye2u/+6xO/pYZL+mC1W72lqTus0T/HKA2biFSJw4eZXIWGC10MVRWF5XipbSz3II8JiRZLZgTfBajmn5djsDqqaO3xbp50+DNFp4jklgAbnCBdhcbD4h1C+Aeuhd2lo6yJVi3WaqQr0wcJ9YjSSUtCnoHLJI1afz9Dcpj9AZxN85hcAbDzRQLBex0VZgbUtH+gUpsfQ2NZNjemszx1DCCROcj8w19UGax6EtNkw7QZAyLJOm7sCThYB2grhHUCuoijZiqIEI4rdd88+SFGUSUAcsMW/S5RIAofm9m7e3VfD9TPG9WyzT0qJ4plbZ3Kivo17Xt2Dzd32aek6qNwMC78LQWEiTveyn8It/wRzNTy7CA7/Z4hfzejBanfQ0W33Lo1odZ7fR6X450knLoXvV0DmXE2HL3e6R3zgSXM+41bR5Tr63jktp9ZkwWpXyfRlWySjlfsxIUljIQxQdCckTUH58McEq93aNcIxaf3046OGMXlgLIFuMcyZHh9OQVrMucsjzLWw5RmxkzJ2OgAbS4wUZcYR5s1HXNKPnoG5Knc64Tz3hfDmJ6GtDi5/pMd5ZluZcL2ZE0BBGi58/tWpqmoD7gE+AI4Ab6qqekhRlF8qinJNr0NXAK+r/frnEsmFw1u7qumyObh1Tmaf6y/OTeJX1+Wx/ngDP//vob7bSK5ucHQazLy97wNOXApf3QBJk+DN22H1A/28SCXnT6tFpIJ5S5XD7PzSjfZTRxgGVNhMSY0iO9GLPCJrodDbnaOnsCbHCLsNGo/JQvgsIkIMjI0J1VYI6w1wxcMYzJXcpX9fu0Z4NDpGuEjJFy4rLn064sRwf7WJqqaOgT/e+l+DwwaX/hiAhtYujtSapW3aOTAlNYogvcI+Tzrh1lpobzxznekUbHoS8j7rHBoWbC1tIjEyuOekMpDQ9CmtquoqVVUnqqo6QVXVh5zX/VRV1Xd7HfNzVVX7eQxLJBcKDofKy9sqmJ0Vx5TU6H63r7gog68uHM/LWyv528Zek7THP4BTO2HR/WI76Wxi0+HO1VB8N2z7E7y4/MzwjMQvmDtd8creNMK1oAsSARbDgKIoLM9PYWtpU3/fThBF9YyVYhK7eeC2feVOvaVXjXBTKdi75aCcGyYka3CO6Dn4UupSFvMNw79JD271fbypWpzkjFbcDF4tzxNafY8DpJ5oOA67X4LZX4T4bAA2nxSF2gJpmzZgQgx6JqdE+0iY69UVXvugOKnpZROpqirbSo0UZweePhhkspxEoplPTzRQYezo1w3uzfevmMyyvBQeWnVE2KqpKqx7COKyYPpKzw9uCIZlv4EbX4T6o/DsxXDiI7+/htGKyVUIe5VG1ArHiGH8oF6en4rdofLh4dPuD5h+i7jcN/BRjApjO8EGHWOivHQo6522frIj3I/c5ChO1rfjcGjb9Pwk616CsZK+5zHvB9q6xXtvNHeEYzMgJKZPQZWREE7euGjP8eOeWPML4Vu78P6eqzaeaCQmLIi8cTH+WvGooiAthgPVpv7v/TFnFcKndovPprlfh7gz35PVzZ3UmCwBKYsAWQhLJJp5eWsFiZHBLMvz7Cqg0yk8ftN0CtJiuff1vZRvfF10ORY9IOJEfTHtevjKJxA9Dl75nBg48GVYLvGJ2eLqCHuTRtT4zzHiHJmaGk1WQrjnIaHYDDEFv+cVkZg1ACqMHWTGh6PT+bBOU3RCqiPpQ05yJJ1WOzUmbS4vx6zJvMoygve/CjV7PR/YWgOoo7sQVhRnQENfB4JleansrWrhlC9HHheV24SGfv69ECG6v6qqsqmkkXkTEtB7e+9LPFKYFktrl42ys108IhLEcLHLHefDH0N4Iiz4Tp/DtpQKfXBxgAVpuJCFsESigaqmDtYcrefm2RkEG7z/2YQF63nu9iISw/XY1zyENS4HCm7S/mSJOfClj2HGbbDhd/CPa6HVQ4dQoglzp1Mj7LUjXNfPQ3ioURSFSyYls7O8yf3QJYihOVMllH86oMeuMGpwjKg/DPHjxUCnpA+anSOc1LZYeCd6pZDavP+A5zCU0Rym0ZsxeVB3sM8J3vL8AcgjVFVEKUcki46kk9LGdmpMFpkmdx4UpItOukd5RN0BcQJSsUm4poT2lQ5uK20iPiKY3OTA0weDLIQlEk28tr0SBVhRrE3HlxwVypsX1zGBKh7tuoHW7oF17wgKg2ufhuv+JGJ6n70Yjn943slio5UzHWEfGuFhLoQBZmbG0dFt52idB23p5KuE9+oAPIVVVaWiqZ3MBOkYca4MuBA2W4iOTRADW5VbRMy2O0ZzmEZvUvLB2g7NZ+YrshMjmJIarc094vj74vd8yQMQfOaEb1OJ0AdfLAflzpmcpEjCgvTsq/IQtdxwTHSDkybDzC/0O2RbmZHi7PiA1AeDLIQlEp902ey8saOKz0wZw7hYjZ0yu43UPb+nPXYSz7cUerZV88X0W+DLayAkCl69EZ6eBZufgnbjwB9rFGP2pRG2mKG7bdilEQCzMuMA2Fne5P6AoFDIvwkOvwudzZoes761C4vVQZa3QtjaKYbl5KCcW+IjgomPCB5AR9gZrzzzdtHt/Oin7sNzXB3haLeBraMHd4NXwPK8FHZVNFN3to9tb+w2+PjnkJDTz5lnw4lG0uLCyPBlGyjxiEGvI2+cl4E51Q7N5bD0IeGa0ovq5g6qmzsD0j/YhSyEJRIfrD5Qh7G9m9vmeh6S68f+N8BYQsTlP+HB6wpYf7yBn717qH86jxbGTIO7N8H1zwr91Yc/hscnw7++BOWbZJdYA2aLFb1OIdyTh6i/wzTOg7GxYaTGhLKr0s2XjosZt4K9Cw7+S9NjljcKbZ9XaUTDMTHtLQthj+QkRWoqhK12Bw1tXaTEhIFOD1c8IkIzNj/d/2BTpdjO9xC/PWpImgyKvl8hvKxHHuGmK2y3ieHi9b+GhqPCm73XLIbN7mDrSSMX5yYGbDdypFCQFsuhGnP/mPGUAnE54TLI/Uy/+20rFSf0gaoPBvCyTyiRSABe2lpBdmIE8ydo3FqzW2H9byC1ECZfxQpFodzYzrPrS8lOjOBLF48f+CKCQqHwZvFz+jDsegH2vQEH/inSfWbdKW4Lixv4Y48CzJ02okMNnr8MXWEaAdARBijKjGOXp44wiPfWmHwhj5j9JZ+Pd8ZD2EtXzOXhKgthj0xIjmT1wVpUVfVaWNW3dqGqnAnTyF4oJC0bHxcWeL29qk3VUh8M4jMuaVK/gbmc5EgmJUeyZe9B7kgugdOHhJb99GHheW13+q5nXQxTrulz333VJlq7bFIf7AcK0mLosjk4frqVaWN7uW/Ej4crfi3e327YVmYkNjyISWOihmilA0cWwhKJFw7VmNhV0cxPrprqfdq+N3tehpYKWP67Hiuu718+mUpjBw+tOkJ6fDiXTzuP9LIxU2H5oyI69NDbsPMFMYzz8c+F60TRnZB+0bDagAUaZotVW5hGAGiEQRTC7+2vpaalk7Hu5DiKIrrC739fDBil5Hl9vIqmdgw6xbu0p/6wiPmNP4cTtVFCTnIkLR1WjO3dJEa68QR3Uut0OeiTKrf0V/DHi+DjX8ANz565vqVK/E1LhISkfANUbRcF8enDUH+Y/3QcINRshlecx0WNFb+zCYvFjtmYac6Oct/PvE0ljSgKzNPaxJB4pNCVMFdt6lsIKwrM+ZrH+20tbeKirHjt35/DgCyEJRIvvLy1gtAgHZ+bqdHayGqBTx8VGeu5S3qu1ukUnvj8dGr+spWvvrSL0CAdoUF6Qg16QoN0hLgug/TO6523u44L0jN3QgKLJyWfea7gcFEMzbhVbCfufAH2vyl8HJOniS5xwU1isGqUY+60aoxXDoxCeFam0NPtqmh2XwiD+Lf96Cew9xWx9e6FcmMHaXFhGPRe1HD1R8Tugl5+LXgit9fAnNdC2KlnTY3p9W8Xnw1zvg6bfg8XfRnSZglZk6kaJl4+qOseMaQWwIE34W/Oz87gSEieimXi1Ty8z8D8eQu5fPGlEK5Nb7rxRCPTxkYTHxE8iIseHWQmhBMTFsT+6hZWXKRtaLzW1EllUwdfmJc1uIs7T+QnnkTiAVOnlX/vqeHawnHEhGvwAAbY/Xcwn4LrnunXnQgN0vPCHbN5dVsFZosNi9Xu/HHQZROXFqsdU6eV+l63WWx2OrrsvLatki0/vIzIEDd/tin5cNXjsOSXcPAtURSv+q4Y0Ln5FZhwqR9+IyMXs8XmwzGiTpwwBAfGQM3k1CjCgvTsqmjm6kIPuuXweJi0HPa9LnYHDJ6/7CuM7WRosU7LWnAeq77w6e0cMceL5tE12NUvXnmIk4nWAAAgAElEQVThd2Hvq2IH54sfQYcRbJ3SMcLF9JVCJxyXJTq+MRmg0xELbK5ez/FTwVyusQhu77Kxu7L53KRokn4oikJBWox75wgPuPTBgRqk4UIWwhKJB97eXU2n1a59SK67AzY8BpkLIHuR20PiI4K559LcAa9lT2Uz1z+zmbd2VnHH/GzPB4ZEQtEd4qdmD7x6M+z4myyEO60kR3nxsDTXBEw3GCBIr2N6eiy7Kny4Qsy4DQ7/G46tgmnXuT1EVVUqjB3MzPCiH+9sESdw0jrNK6kxoUQE630OzNWYOokI1hMdetZXbEiUGOh69x448JbwDAepEXYRHt/HA7g3y/NSeHpdCQ2tXSRFee7Gu9hWZsTmUGWssh8pSIvhz+tLsVjthAZ5GDzuxdZSI9GhBianRPs8djiRrhESiRtUVeWlrRXMyIjVHsu582/Qdhou/ZHf9bkzMuKYkRHLi5vLNUe8MnYGTFoGpZ+IGNdRjNniSxoRGB7CvSnKjONwrZmObpvngyYsFnpJL57CzR1WWi02H44RR8WlHJTziqIoTEiO5GSD90K4zmQhJSbU/UDd9JVi2PHjn0HDcXHdaE6V08jyglQcKnxwSEO4BrDxhJEQg45ZWXKA2F8UpMVid6gcqjFrOn5bWRMXZccHfKLfyCmEu9rgna/Bml9C44nhXo3kAmfzSSOlDe3cNkdjN7irFTY+ITqvmfMGZU13zc+m3NjBumP12u+Uu1T441ZuHpQ1jRTMnRqkEdHDb53Wm6KsOOwOlb1VXmzUdHrhNX1yDZhOuT2k3BmLmunNR7X+sLiUHWGfaLFQqzVZPGu7dToxZW8+BWsfFNdJaYRPJo2JYnxiBKvd2ai5YWNJA7Oz4jV1LiXaODMw5+Uzyclps4WyxnavEqJAYUQUwuZWMxV/vAb73tdwbHhChAo8dylsfw46vFgMnSMOh8q7+2pYe1TG2o5WXtpSQXxEcE/Ep0+2PSv0fot/PGhruiIvhZToUJ7fVOb7YBfjFwkngBMfDdq6Ap1um4NOq91zR9hhd8Yrn4eTxyAwM110snaV+5BHTL9F+P/ue83tzZVO67SsRC+F8OnDEBwlCzINTEiOpNZkodWZVuiOWlMnKdFefIEz58HU64S3cFCEtD3UgKIoLMtPYWtpE8a2Lq/H1pstHD/dxgKZJudXUmJCSY4KYX+1b53w1lIR+lScLQvh86LLZuf59cfY99g1pJt287fkB1iq/JmHbSs5bWwRw0C/mwhv3ApH/+eX7d/NJxu5+umNfOu1Pdz/z/3nFoAgGdHUmjr56MhpbpqVrq2b0NkCm5+EiVdAWtGgrStIr+P2eZlsKjFyzFP87tkER4gBqBMfDtq6Ap3WnnhlD4Vwe4NIRgowaURMeBATx0Syq9JHIZwwQejS97zsNlyl3NiOokBanA8P4eQp0nJPA66BuZMN7W5vt9od1Ld29bVOc8eSX4I+RMgi5O9dE8vzU7E7VD487L1JtdEZqyz1wf6nIC2WfRo6wtvKmogKMTB1bGDrgyFAC2G7Q+Xt3dUseXQtKR/fw8XsoXbhr/nKNx7gn9+9no5ZX2Ou6UFW6B7lWOYK1Mqt8PotIm1r1ffg1O4Bp22V1LfyxRd3cMtz22jpsHJN4ViM7d2UO7spktHDa9sqcagqK4u1WcSw9RmwmGDxDwd3YcCK2RmEBul4YSBd4dyl0HgcmgZwnwsIs0VobD1KI1qdW60BJo0AKMqMZ3dFs29d+IxbobkMjr7X76YKYwep0aGeT+pUVUgjpCxCE72dI9zRE6bhK449LhOufRoWfNvfS7xgmZoaTWZCOKsOeJdHbCxpJC48iKmpgV+EjTQK02IobWjH7GVHBGBbqZHZI0AfDAFWCKuqyrpj9Vz55Abue3MPP1f/yHL9drji14y77G4A4iKC+dV1+bx7zwK6k/K4/MgVfDbsb5QueV6k9+x6EZ5bDM/MEZpNc43X52xs6+JH7xzg8t9vYHtZEw8sm8ya+xbxrcvENO8Ob+lOgYDsWPuVbpuD13ZUsXhSMulasuk7mmDLMyLRKLVw0NcXFxHM9TPSeGfPKZraNe6A5C4Vl6NUHmHudHaEPUkjesI0AksaAWJgzmyxUeJjOIup10Jsptgd+9eXhDetkwpju/dBubZ66GySg3IayYwPJ0iveCyE60wiTKOfdZo7Cm6C6Sv8ubwLGkVRWJaXyuaTRpo9fP6pqsrGE43My0kM6BCHkUpButAJH/Qij6hvtXCyoZ3i7MC2TXMRMIXw3qoWVjy3lTtf2EFHl411k9/l0u51cOlP3KaW5I2L4a275/L4TYVUmaxc9l4oD+i+Q9PXDsJVv4fQWJG09fhUePXzYpipF53ddv64roRLHv2EN3ZUcducTNZ/bzF3L5pAaJCe8YmRxIYHsTOQC+F3vwWvfE4Ww37kw8N1NLR2abdM2/ykGEYbgm6wizvnZ9Flc/Da9kptd0iYAPETRq08wuxLGtETphF4HeFZmUI7utOXTjg4HL62GS7+Lhx+F56aBesehu52Kowd3vXBclBuQBj0OrITIzwWwmfCNDQUwpIBc6VTHvGRB3lESX0b9a1dXCxlEYNCgdNFaZ+XQnh7maibikfAoBwEQCFc2tDG11/ZxXV/3MSJ02384uqprMv/kKzyN+Hi+4QBuQcUReGGmWmsvW8RX1qQzVu7qrnk6T38vXsxtjtWwzd3i8c4/j5s/RMgBuH+tauaSx/7hEc/OMa8CQl8+O2F/PyaaX3SZ3Q6hVmZcez05eM5XJRtEOENJR+P2gJnMPjHlgrS48NYlJvk++C2ejEkl/+5IS0iJo6J4uLcRP6xpRyr3aHtTrlLRXRp9+iT+pg7ndIITx3h1jpQdBCZ7P72YSQzIZyEiGDffsIgPKQv+wl8c6ewzVv/GxxPFXFx51oy4nxEK4OIqZVoIseLhVpti5tUOYnfyBsXTVpcGKs8uEdsOCH0wfNlITwoxEUEkxEf7tU5YltpExHBevJGgD4YhrEQttlVfvTOAZY88SmfHGvg3styWf+9xXyh6xX02/8ExV8T3WANRIUG8aMrp/L+/11MQVosP3v3EFc9tZHt5jjxxTDpStj8NNsOneTqpzdy3z/3kRwVwhtfmcNfbp/F+CT3RvtFmfGUNrT7nFA9X9q6bLy5swqb1qLGYRfJRDEZEJsBnzwiu8J+4FhdK9vLmri1OFPbltrG34PNAoseGPzFncVd87M5be7yqZXrIXeJWGv5hsFdWABypiPsQSNsroXIMcKKLMBQFIWizDh2VQxgZyo2A258Ae58H0tIEr8PfoYV+++Cqu3uj68/DBFJECELB63kJEVSYWyny2bvd1utyUK4uzANiV9QFIUr81PZVNKIqaO/TnVTSSNZCeHapG2Sc6IgLcarc8TWUiOzsuK9R7oHEMO2ymOnW3ljRxUrizNYf/9ivr1kIpHbn4RPH4WZt8MVjwx4kjYnOYqXvngRf1o5k1aLjZue3cK9r+9h/8SvQ5eJ7a/9kpYOK3+4eTrvfH2+z7b9bKcRt6ZuzHnwxo4qvvfWfh794Ji2O+z+O5w+CEsfhIX3iwQx2RU+b17eWkGwQcdNszRYSFnMIkCjcMWZdKghZNHEJMYnRvDCpnJtd8haAEHho/J94lMj3BpYqXJnU5QZR7mxg8aBnpBnzmXdxa/zne67ieiqg78tgbe+CC1VfY9zOUZINDMhORKHCuWN/XdY6sydnsM0JH5hWX4qVrvKR0f6yiOsdgdbS42yGzzIFKbFcqql0+1nkrGtixP1bRQHeKxyb4atEI4KNfDxdxbxy2vzRFzi1j/Dml9A/o1C43uOHyLCazCVj7+ziG9dmsPqg3Vc808T7zOXu0M+YM3d07h2+jhNHb+8cTEE63WDLo/YclJs5Tz7aSnv7fc+3EdnC6z9FWTOFwMyhStkV9gPtHXZeHt3NVcXjCWul0TGIyfXiA7rjFsHf3Fu0OkU7pifxd6qFnb7stcCMITA+EtEITzK3idmixW9TiE82EPH11wbkI4RLmadxwl5eVMnbzsW0vW1HeKk+eh7wod97UPQ3Q4OB9QflYNyA8Sbc0RNi4WxUhYxqBSmxTAuNozVZ+2I7a1qob3bzsXSP3hQKUgTOmF38giXPngkBGm4GLZCOCM+nKxE5yTz7n/A+9+HyVfBdX/2yxZlWLCe7yydxMffXsRD1+cx567fEeToInT7U5ofIzRIT0FazKAOzNnsDraVNnFjURpFmXF876393j1i1/9WOBW4Oub6INkV9gPv7K6mvduufUju2PsQFg9pFw3uwrzw2ZlpRIUaeH6jRlu03CXQUgkNGnceLhDMnTaiQw2eO3QBGK/cm2ljxQn57nMohCuNHSRGhhAZFQuX/hju2QGTr4RPfwtPFcGm34O1XRbCA2RCUiSKAifq+39Wu+KVJYOHcI9IYcOJxj42XhtONKJTYO54WQgPJnnjYtApsK+qvzxia6mR8GA9+c6hupHA8As4Drwl3A9yPgOfex70/tVVZSSEs7I4k9iMPMi/SaTRtWrLKgeYlRXPgVMmLNb+WjB/cOCUidYuG4smJfHMyplEhBi4++VdmDrdePQ1noDtzwrpSG+rLtkVPi9UVeWlrRUUpMUw3WkN4xW7TZx05C71+/t1IESEGLh5djqrD9ZR67Rs8krOEnE5yk6YzBarZ8cIaydYWgLSOs1FaJCe/LSYc9qZKje2k5XQSysZmyE+Z+/6UBT/a34hrpeF8IAIDdKTFhfWryNsszuob7VIx4ghYFl+Kt12B2t6ySM2lTSSnxZLTLiHv3eJX4gIMZCTHOm2I7ytrImizDiCRog+GIa7ED7yHrz9FaFf/PzLYvt2MLnk+2C3wobHNN9lVmYcVruqKVLwXNh8UsQQzh2fwJjoUJ5ZOZOqpg6+88be/ib6H/xQ6DzPHiKUXeHzYntZE8dPt3HrHI3d4Ortwnd10hWDuzAN3D43C1VV+ceWCt8Hx6ZD8rRR9x4xd1q9eAg7pUgBLI0AoRM+UG1yO5zljQpjBxkJboaGMorhS2vgeteJdYGfVjp6yEmK7FcI17d24VClY8RQMCM9lpToUFYdEI0ts8XK3qoWFuSMnC35kUxBWiz7q0190neb27s5Wtc6omQRMJyFcJcZ3roTxs2EFa9B0BB8cMSPF5rOXS/2HxjxQJHTx3OwgjU2n2xkckoUCZHiJGB2Vjw/vXoqa47W89TakjMHnvhIFDCLvgeRbqy9errCv5Zd4QHyxo4qYsKCuLpAYzF0bDXogmDCZYO7MA2kx4ezdGoKr22vpLNbQ5GUuwQqt4hhv1GC2WLzkirn3B0KYGkEiM+hbruDg6e0n5BbrHbqzBayPIVp6HRQeDNc89TgNyEuQHKSIyltbMfeq2EhPYSHDp1OYVl+CuuPN9DWZWNbaRN2h8qCHA3Wl5LzpjAtBmN7N6dazuxGbnP5B4+QIA0Xw1cIN5VB0iRY+RaERA3d8y68X1x++qimw+MigslJjhwUnbDFamdneTPzJvTVM902J5MbZo7j92uOs/boadHF/uCHIhThoq+6f7CervDuUZsgdq7srGhmQU4iYZ6Gqc7m+PtiFyM0MDwS71qQTUuHlXf2nPJ9cO5ScNigdN3gLyxA8NoRdsUrB3ghPDNj4ANzlU3C0SDTXUdYct7kJkfRbXNQ3XzGOcIlUUqNlYXwULA8P5Vum5BHbDzRQFiQnpmZGuRtkvOmIE38nnvvlm8rMxIapOu5baQwfIWwPhhu+zeEDfEvLDYdiu6APS+D8aSmu8zOimNXRXN/qcJ5sruymS6bg3kT+m4jKIrCw9fnMzU1mntf34vxk2eg8Thc/jAYvDgaSK3wgGlu76ayqYP8NI3CfuNJ8W8xadngLmwAzM6KY9rYaF7YVNZnm8ot6cUQEjOq5BFmixZpRGAXwklRIWQlhPtOmOtFeWM7gPd4Zck5M8GNc0SdqyMcLaURQ0FRRhzJUSGsPlDHxpJGLsqOJ8QQeH7gFyKTU6MI0ivs66UT3lYq9MHBhpGjD4bhLIQTc4fPwP3i+0QHdf1vNR1elBmP2WLjhIdIzXNly0kjep3i1m8vNEjPn28tIkFpJXjDb7BnL4aJl3t/QNkVHjAHnFvNBVonXI+tFpcTh18f7EJRFO6an82J+jY2ljR6P1hvgJxLxftjlJwsmTt9SCOCIiAkMLr73piZKU7IfZ7sOHF1hLNkR3hQcGehVmuyEBak9/x+k/gVnU64R6w9Ws/JhnYWSP/gISPEoGdKajT7nc4Rpg4rR+rMFGePLH0wDGchrBvGD4qoFLjoy3DgTU1WUq5gjZ0DSXfSwKaSRvLHxRDloVuVHh/OqzlrCFM7ecRxO5q+/mRXeEC4CuFpWgvh4++LCfs4jYN1Q8RVhakkRoZoC9jIXQptp6F2n9ubVVV1m9g0Eum2Oei02n2EaaScs2/5UDIrMx5jezcVRm0x2eXGdmLCgogN1+CLLRkwMWFBJEWFnFUId5IaK8M0hhKXewTAAukfPKQUpMVw8JQJh0Nle3kTqjqy/INdjKz+tT+Z/3/CgeGTR3wemhEfTmJkyIC2JX3R1mVjX7WJ+d4mXOsOMrbkdQ6n3chfj4XwNy1+sbIrPCD2V7eQnRhBjCd7rd50NkPF5oCSRbgIMei5dU4Ga4/WU9rgY+ci5zPi0s37o6m9my//YyezHvrIa5b8SKG1J17ZkzQisMM0ejOr54Rc2+dQhbFD6oMHmZykSEoa+naE5aDc0DI7K57EyBASI4OZNGYI540kFKTF0tplo7SxnW2lRkIMOgrTR45/sIvRWwhHJELx3XDoHag74PVQRVGYnRXn147w9jIjdofab1CuB1WF9x+A0BjyV/6aZXkpPLL6KJtP+tj6BtkVHgAHqk09KTk+KVkDqh0mBl4hDLCyOJNgvY4XN5d7PzAyGcbO7KcT3nLSyLI/fMqnxxsJNeh5eNURzdvwgYrZYgPwIo0I7DCN3uQkRRIdatA8MCcKYakPHkxykoWFmuvvpM5kIUXqg4cUvU7hp1dP5YfLp2hKjJX4j8KegbkWtpYZmZEROyI12qO3EAaYd48YHFrnuytclBlHVVNnzzDE+bK5xEiwQddjz9aPo+9B+QZY/COU8HgevbGQrIRwvvnqHmpafIQnyK6wJhpau6gxWbQn4BxbDRFJMK5ocBd2jiRFhXB14Vje2lXtPpClN7lLoXoHtBux2R08/uExbvnrVsKDDbz99Xl89/JJbC1tYt2x+qFZ/CBhdv4e3EojVFVohAM4TKM3Op3i1An7PiG32h2caumU+uBBJic5klaLjfrWLmx2B6fNFsZKx4gh55rCsdwwM224lzHqyEmOJDxYz8aSRg7XmEekLAJGeyEcFgfzvgnH/gendnk9dHaWGGjzV1d480kjRRlxhAa5OXuyWuDDH0PSFCi6E4DIEAPP3jaLLpuDr728y3fSnewK+8TlyarJ6sVuFScVuZcL/9UA5c75WXR023lzhw+f7NylgErzgdWseG4rT64t4YYZabz3zQXkjYvhluIMshMjeGTVUWxO/d1IxOxNGtHRBPauESONADElf/x0m88TnVPNndgdKhnxshAeTHoPzDW0iTANGa8sGS3odQp5Y2N4b18tDpUROSgHo70QBphzN4TFw9qHvB42dWw0YUF6v+iEm9q7OVxr9qwP3voMNJfDFY/0ifDNSY7ksZsK2Vdt4ufvHvL+JLIr7JP91SYUBaaN1eAYULkFukwBqQ/uTd64GC7KjufFzeXeC9ixM+gKiWfz+69xuMbME58v5LGbCokIEe+3IL2O710+iRP1bby1q3qIVu9/zJ1OaYS7jvAI8RDuTZFTJ7y70vvnULlRWKdlJUppxGCS26sQlmEaktFIQVoM3XYHwXodMzJGln+wC+nxEhIFC/4PPvopVGyBzLluDwvS65ieHuuXjvDWUmessjt9cGudiICedCVMWNzv5sunpXDP4hyeXldCQVostxRneH6iwhUiOOSTR0SimIdJ5m6bA1OnFVNnNy0dVvHTaaWloxtT55n/77LayU6KYHJKFBPHRJGTHDki9UAu9le3kJMU2VP8eeXY+6APcftvEmjcNT+bu1/excdHTnNFXv8iz2K189D/jjC9YxpLDHt57555ZCf3Pxm4Ii+FmRmxPP7Rca6ZPpbw4JH3cXGmI+xm7a5CeAR1hKenx6LXKeyuaGbxpGSPx7mcJeSw3OCSFBVCVKiBkvo2Ep3poDJeWTKaKEgXxe/0jFj3O9wjgJH3zTYYzP4ybH4a1v4K7njPY8E4OyuOp9eV0NZlI1JL8eSBTSWNRIYYKHQ3pLXml2DrgqUPerz/t5dMZP8pEz979yAxYUHEhQfRabXT0W2n02qns9flxNiVXFn+CM89/yx7Qy9yHmfD3GlzFrndtHuJ5tUpEBseTGxYEHqdwifHGnqsavQ6hezECCalRDF5TBQTU6KYnBJFelz4gIcWVFWlvdtOS4coxtu7bBSmD94flqqq7D9l4mItdjuqCsdWQfZCCA78DtuSqWNIiwvj+U3l/QrhkvpW7nl1D0frWpkxdSnRpRuIthwBivs9jqIo/OjKKXz2T1v464YyvnVZ7hC9Av/hVSPsCtMYIRphgPBgA1NTo33uTFUYOwgP1pMUKaOTBxNFUXoG5lwnHbIjLBlNTHdKC+eMsFjl3shCGCA4HBZ+F1Z/D8rWw/hL3B5WlBWPQ4W9lS3u/QpN1SKxLjRWdJbH5IGufyG35aSRi7LjMejPUqac2gV7X4H590LCBI/L1esUnrx5Olc/vZFvvLrb60uLCprGdH0y86uf443IyYQFGwgL0jM2NoypY6OJDQsiNjyIGGexGxseRGxYsPO6ICKDDX2KWqvdQXljO0frWjlW18rRulb2V7fwv/21PceEB+vJHRPFpDGRTEqJJj4iCFNPl9nq7D6LIryl04rJeZ3trOS+7yyZOGjF12lzFw2tXdqCNBqPQ3OZGK4cAeh1CnfMy+JX/zvCwVMm8sbFoKoqb+6s4ufvHiYsWM8Ld8xmceY8+O3PhXtERv9CGESYzBXTUnh2/UlWXJRBUtTIKqzMFit6nUK4u/hsV0c4cuQUwiAGd9/YUYXN7uj/GeKkwthORny49LMdAnKSIvnkeEOPfE6TFaNEcoGQkRDO07fMGNFhJrIQdjHzC7DpD6IrnL3IbVd4ZkYsOkUMzPUphBuOw6bfw/43wGEHV/RFSLSItM2cJ37GzqC23UFpY3t/SYOqwvs/gIhkuPi7PpcbGx7Mu99YwN7qFsKC9IQF6QkP1hPqvAwL1hNq0IsidlcT4/77LT6+xgq5l5z77wghEckdE0XumCiuLjxzfXuXjeOnWzle00R1dRXGulJaD9dwdE8jJjWC9Y5CuggmKtTgNPkXBXdqbBixYUF9rosJD+LxD4+zsaRx0Aphl0duvpZBuQBMk/PFjbPSefyj47ywqZyfXTOVH759gPf21zJvQgJPfH46Y6KdXav0YlEIX/YTj4/1vSsm8fGR0/xhzXF+dV3+EL0C/2DutBEdanBfELbWChcQb7HlAUhRZhwvbi7nSG2rx2jwcmM7ucnSU3UoyEmO5J+7qjl+upXUGBmmIRl9XFUwcuRl7pCFsIugUDFc9t7/ieGyiUv7HRIVGsSklF7bkqd2wcYn4Mh7YAiF2V+Cud8ARSf0xhWbxJDVml+I4w2hGGLy+bYhjSUhn4OuZAgRwxYc/BdUbYNrnoZQbXGvcRHBXnWCPRSugA2/E1rhnM+cW4qWwy5S+NrqoK1eJJO11ff8d0RbPTPa65nRYex7P2dzRA2ORJ10Jbr8z8H4BT6Lj53lTfx9SwUWq31Q5BEHTpnQ6xRtg3LH34eUAogZOfY8MWFB3FiUxmvbq9hebqSmxcL9l0/i7kUT0PeWreQuEe9Pcy1Eux8aG58UyS3FGbyyrZI75mX3TMqPBMwWq/cwjREki3DhslzcVdHkthC2O1Sqmjr5zJQxQ720UYnr72F7WZNnO0yJRBKwyEK4NzNuFZ3dtQ96HC6bnRnLqd2rcfz9IXRl6yE0RhTQxV8VIR0uCm4UPwDtRlEQV2zGsvdj7jH8B/2qd2C1HlILRbf40Dviv6ev9P/rMgSLLvN/vwUlH4vXpgW7DSo3w+H/wJH/iuK3z+OGQuQYEdCQMEHIQSKSxf+7ro9IguZylIP/QjnyLhx4Q9jWTbkG8j4LWQvcykeKsxN4bkMZe6taBsWbcH+1iYljonwX2e1GcYKy8H6/r2GwuWN+Ni9trcDhgDe/OoeiTDcartylohAu+Qhm3u7xsb51WS5v7z7Fb98/yl9unzWIq/Yv5k6rj3jlkdfJGBsbxtiYUHZWNHPH/Ox+t9eZLXTbHTJMY4hwFcJdNocclJNIRiCyEO6NPggWPQD/vlsUflOvOXObwwFH/8u3y39LnO4g1tPJ6JY8CLPuFM4T3ohIgClXoU6+kpv2XMa88cE8Nq/L2TXeDNufA3s3fPZvg+dRq7UrbLeKII/D/xGd7o5GMISJ4nnSMojLEkVuRJJ43Vq6y/HZwm3hysfh5FrR/T7wFuz+uyicp10viuK02T2vf3Z2PIoiHDb8XQirqsqBUyaWaOmYnfgQVMeIkkW4yE6M4L1vXkxafJjnYnDMNIgeJ16nl0I4MTKEuxeN53cfHmd7WRMXjZDBCLPF5iVVri5gw1F8IYI13A/MVTQ6rdOkY8SQkBYXTrBBR7fNIQflJJIRiCyEz6bgJmFftu5hmHylkAQceBM2/h6MJ4iKzeYB65eYMvcrfGH+pAE9dLmxg1qThRmLcyAnUxSkIAI02hsgNn0QXpATb11hWzeUfiKK32P/g85mCI6EiZfD1GvFOv3hlmAIhklXiJ/uDlF8HfwX7HoRtj8LMek9RXFMaiFTUqLZVuq/WGsX1c2dNLV3e9RX9uH4ajFMlTrd7+sYCurRbgYAACAASURBVKb6kn4oingvHPiXeB94kax8ccF4XtpawcOrjvDO1+eNCC2kudNKcpQbKYetW/zNjSAP4d7Myozjvf211LR0Mja2bxeyoklYp2XIQnhI0OsUxidGcLSuVYZpSCQjEBmocTY6PSz+ATQcgf98A56cLi6DQuFzL2D41i4+jVzO9qr2AT/0ppJGAOafPV0ZFDq4RbCL3mlzVgscXQVvfxUezYFXb4Qj74qt8ptfhftL4HPPi0J4MCzDgsNh2nXw+ZfEc13/F0ieKsJE/rIInirixuRqdlc202XzkaI3QA70JMr5KIRt3VCyVhTuAZwmd97kLoXuViHf8UJYsJ77lkxib1ULqw7UDdHizg+zxYM0os25/hFaCLtkLjvddIXLje0E63Vym34IyR0jdgVlvLJEMvK4gL/dz4Op1wvrs32vQVw23Pov+OoGyLsBdHpmZcWzs7wJdYDRxVtOGkmNCR2+LUtXV/jULvhNFry+QgyCTbkabvmnKEhv+IvohAcN4ZdoaDQUfh5WvgnfPQFXPwkOKzdXPYjO1sH+apNfn25/tYkgvcKkFB+SloqNokCcGNhpcudN9iLQB4sOvQ8+W5TGpDFR/PaDo3TbAj962dzpQRrR6iyER1CYRm+mpEYRHqxnt5tCuKKxg/T4sL5DkZJBJSdJ7DqkRMuTD4lkpCGlEe7Q6eCWN4U+NrWw382zsuJ4d18N1c2dpMdrK2odDpXNJxu5dPKY4d1Snn6LkEaExYlub/ZCoY0OFMLjoegLkJhL2AvLuNfwDttKC5id5T9N6oFTLUxOifadindstdBHj1/kt+cOSEIiIXO+cEu53HvUuF6n8MDyydz5wg5e2VbBnW6GtQKFbpuDTqv9ggnT6I3BS9JlRVOHHJQbYpZOG8O+6hbGJ8nfu0Qy0pAdYU/EjHNbBAPM6tmW1K5fPVrXSnOHlXkT/O+AMCD0QUKOcM2TkHNZYBXBvcmcBzNv58uG/1F7bIffHlZVVfZXm3zrg1VVxCqPv2Rou+PDRe5SaDwGzeU+D71kYhLzcxJ4cs2JngjjQKS1J17ZzXvcFaYxAl0jXBRlxnGktpX2LlvPdaqqUmFsl9HKQ8yU1Giev2P2iI2YlUhGM5oKYUVRrlAU5ZiiKCWKojzg4ZibFEU5rCjKIUVRXvXvMgOLSSlRRIUYfMac9mbzSaEPnpczzIXwSOIzv6DTEMNNdY9htfqn4KowdtBqsbmPt+5N/WEwVQqnjNFArtM3+8RHPg9VFIUfLJtCc4eVP31ycpAXdu6YLaJAdC+NqAV9iNiBGKEUZcZhd6jsq2rpua6hrYuObjtZsiMskUgkmvBZCCuKogf+CCwDpgIrFEWZetYxucAPgPmqqk4D/m8Q1how6HUKMzLjBlgIGxmfGCEHWAZCeDwlM35IoVJC7Zpn/PKQ+52DcvnjfCTK9aTJXe6X5w14EnMgfrwmnTBA3rgYrp8xjuc3llHT0jnIizs3zJ3OjrBbaYQzTGMEOF94YkZGHIpCHxu1SqN0jJBIJJKBoKUjfBFQoqpqqaqq3cDrwLVnHfNl4I+qqjYDqKpa799lBh6zM+M4droVU4fvTqXV7mBbqZG5wy2LGIGkLbydT+35pOz4jShezpMD1S2EGHTkjvGRjnZsNYydOWI1pOdE7lIo+xSs2grb+5ZORAUe+/D44K7rHDH7kkaMUMcIFzFhQUxMjurjHFHuLIRlR1gikUi0oaUQHgdU9fr/aud1vZkITFQUZZOiKFsVRXGbPqAoylcURdmpKMrOhoaGc1txgFCUJaI0d1f67grvrzbR3m3vb5sm8UliVCh/jbkHHFZY/b3zfrx91Samjo0mSO/lrd9WL5w1RosswkXuErBZoGyDpsPT4sK5c14Wb++p5nCNeZAXN3DMnUIaEeOpEPYQKT2SmJkZx+7KZhwO4WBTYWxHr1MYFyt3niQSiUQLWgphd3uHZ/uGGYBc4BJgBfBXRVH67T2rqvoXVVVnqao6KykpaaBrDSimp8di0CnsKPc9MLfFqQ8ejKjg0UBGzjT+aL9B+By7JAvngN2hcuiUiYJxPvTBxz8A1BGZJndeZC6AoHDN8giAry/OISYsiEdWHxnEhZ0bPR3hs6URquqURozcQTkXszLjaLXYOFHfBggN/NjYUIINcg5aIpFItKDl07Ia6J32kAbUuDnmP6qqWlVVLQOOIQrjC5bwYAPTxka7NbQ/m00lRqamRhMf4Tm1S+KZ4uwEnuleTmfsRFh1P3S1ndPjlDW20d5tJz/Nhz74+PsQnQYp+ef0PCOWoFDhKXziA1EsaiAmLIh7Fuew4UQjnx4PrF2eHo3w2cNyXWawtl8QspeiTLEz5dIJVxjbpSxCIpFIBoCWQngHkKsoSraiKMHAzcC7Zx3zb2AxgKIoiQipRKk/FxqIzMqKZ19Vi9dgAYvVzq7K5uG3TRvBFI+Px4qBD8b/AExVIhnvHHAFc3hNlLNa4KQzTW4ED1KdM7lLoKUSGk9ovsttczNJjw/jkdVHsTsGFjIzmJgtVgw6hbCzLa1cWvMRGqbRm8yEcBIjg3usHMuNHdI6TSKRSAaAz0JYVVUbcA/wAXAEeFNV1UOKovxSUZRrnId9ABgVRTkMrAPuV1XVOFiLDhRmZcbRZXNwsMZz8tmuima6bQ6pDz4PkqNCGZ8UwbtN6VB0p4hhrt034MfZX20iPFjPhCQvg3Jln4K148JPk/NEj43aB76PtXVBw3FCStfwTM5OPtfwRw7988Fz7tj7G5EqF9Q/wKbHQ3jka4QVRWFmRhy7Kppp6ejG1GklM152hCUSiUQrmpLlVFVdBaw667qf9vpvFfiO82fU4BqY21nexMyMOLfHbD7ZiEGnMDt75PqVBgLF2Qm8t68G+40/Q3/0f/Dfe+FLa0Cn3cD+wCkTeWNjvEfPHl8NQRGQtcAPqx6BxKZD8lShE557D3Q2Q1MZNLt+yqGpXPy3uQbXuEA+kGsIIfTIaqj8h4jynnUnGEKG7aWYLVaiQz14CMMFIY0AkXT54eHTPfII2RGWSCQS7ciI5fMgOSqUzIRwdpQ385WF7o/ZfNJIYXoskSHyV30+zBkfz2vbKznSoiNv2a/hrbtg+3Mw525N97fZHRyqMbGyONPzQaoqBuVyLhV62dFK7hLY/BT8OkPoaXsTmQJxWSKaOy4L4rLFZXw2f9rczKefvM9bmR+if//7sOVpuOQHUHjzgE5Y/IWp0+reOs0Vr3wBSCPgjE747T2nAMhKlB1hiUQi0Yqszs6TWZnxrDtWj6qq/bZgWy1W9leb+PolE4ZpdRcOxdlCY7211Ejeghtg76uw9kGYcrWIw/ZBSUMbFqvDuz64bj+YT8HiH/lr2SOTmV8Qnd/IMX0KXWIzIdhzt3F6BvzBkcOOhSuZw35Y80v4z9dh0x/g0h+Lf6sh1F2bO63uwzRa6yA09oKJzs4bF0OwXsdHh08DkBEvO8ISiUSiFemxc57Mzoqjqb2b0sb2frdtL2vC7lBlkIYfSIkR3fetpU2imLryMXDYNXsL769yJcp5KYSPrQaUMzrZ0UrCBLjpH7D8UZj7dZi8HJKneC2C4cwQ4r5qE0y4FL68TjwOKrx5Gzx3KZxcNwQvQGC22DzHK18A+mAXIQY9+WkxdNscpESHEnr2cKBEIpFIPCIL4fNkllMnvMtN3PKmEiMhBp1H/bBkYBRnx7OjvEmEB8RlwSUPwNH34Mh7Pu+7/1QLUSEG79ZSx1ZD2myIHNke18NFQmQI6fFh7KtuEVcoCky9Fr62Ba79I7Q3wEvXwd+vhuqdg74ejx1hc80FEabRm1lOeYTUB0skEsnAkIXweTIhKZK48CC3wRqbTzYyKytOdmj8xJzxCZg6rRytaxVXzP0GjMkTXeGuVq/3PVBtIm9cDDpPg3LmWqjdO/rS5PzM9PQ49la29L1Sb4AZt8I3d8EVv4bTh+Gvl8HrK6F+8II4zBYPGuHWugsiTKM3RbIQlkgkknNCFsLniaIoFGXG9Uxsu2hs6+JoXSvzJkjbNH9R7Ezm21bmdObTB8FVvxcdvrUPebxft83BkdpW7/rg4++LS1kInxeFaTHUmCzUmy39bzSEwJyvwb17hQ677FN4Zi68c7dwp/AjXTY7Fqujv2uEww5tpy+4jnBRZhwGnUJuctRwL0UikUhGFLIQ9gOzsuIpbWynsa2r57qtpaJYk0Ea/mNcbBhpcWE9v1sA0mfD7C/C9mfh1G639zt+upVuu4N8b4XwsdViGCxpsp9XPbqYni5S+/ZVe/bWJiQKFn0P7t0H8+6B/W/Apif9uo5Wiw2gf0e4rR5U+wVjneYiITKE9761gNvmenFFkUgkEkk/ZCHsB1z6vJ29dMKbTxqJCjF4H86SDJji7AS2lzl1wi4u+ylEJAtvYbut331ciXKFnqKVuzugbL3oBo/GNDk/Ms3p07yvqsX3weHxsPRXQpddvsGv6+iJVz5bI9zjIXxhSSMAJqdESxmWRCKRDBBZCPuB/LQYgg06dlWc0QlvLmmkeHw8Br38FfuT4vHxNHdYOVHfK70sNAaW/UbYn21/tt99DpxqITY8iLQ4D3ZZpZ+AzSJlEX4gLFjP5JSoMwNzWsicDzV7/JpIZ+7pCJ8ljXAVwheYNEIikUgk54b0EfYDIQY9BeNi2OHsCJ9q6aTc2MHtc7OGd2EXIHN76YQnpfTSQ069FnIvhw9/AhseAxRQdKAofLfdyv06BeWJUOf1yplLRQGLCUKiIWPecLykC47C9Fj+u68Gh0P1PJzYm6z5sPFxqNoGOZf5ZQ0eO8KuMI0LyD5NIpFIJOeOLIT9xKyseP62sZTObjubSxoBmJcj9cH+Ji0ujLExoWwrbep7oqEocO3TsPlJIXVABdWBze7g411VTEmNIn5ctEgEVh3O29Uzl+MXgSF4WF7Thcb0tFhe3VZJmbGdCUmRvu+QPgcUPVRs8l8hbHEWwmdrhFvrxHNFSIs8iUQikchC2G/Myozjz+tV9lW3sOWkkYSIYCaNkRPc/kZRFIrHJ7DhREP/NL/IZKE57cWByma+v3Uzf15YREHehTUgFagUugbmqlq0FcIhkTB2BpRv8tsazJ1OaYQ7jXBUyrBEPkskEokk8JACVj9R1DMw18Smk43MnZDQL3JZ4h+Ks+NpbOvmZINvTemBU//f3r3HtnWedxz/PaLuF4qWLVu0JUu+JZYbW0rqxmmcdF3TomkxOMW6Aik6rF23FQVWdBg2bA0KdEC7AcP6R4EN24DugnTYpQtWDMu6DL04Tbu2sxMn8yWO7cR3y5dEvunIFimR0rs/zqFM25R1DnUhKX4/gCHx6JB8kbwQf379vO/jb5S759FpmFcbV7aqpT4WbsNcTt9O6fyrwWr+3N1aEb7j7/rDx6TE2nl5DwBA5SMIz5NlLfXatLJV33ntvN72xjk/eAHlzhPec/LuJiZ3Ojg0ohWt9Uq2Ny70sBCI1Zi2drdrf6Qg/Lg0lZGGXp6XMXipjGprTE35pyikrkkXXpPWvW9e3gMAUPkIwvNoe98ynbp8U5K0k/rgBdO3vFkr2xq099TsQfjQ0Ii2rmlndX6RDfQk9MZFT+PZyXBP6Nnhb26cp/KIXFe52/6/n3zJrw/fMD91yACAykcQnkfbezsk+Y0f1nbQ6nShmJkeWb9ce09ekXNuxvvGJrJ6651RbZvp/GAsmMHuhDKTTkcu3rv19bTGuJQc8DfMzQMvlb27q9zxH0oN7dKad8/LewAAKh9BeB5t7/PrhB+lPnjB7VjfoXdGx6dX4At544KnKUd9cCnkb5gLre8xaegVKZOa8/vnVoSnOScdf9E/HSTGHmEAgI8gPI/WdjTrdz94nz772LpSD2XJ27Eud57wzOURuTa/dPdbfMn2Rq1sa4hWJ9z7mDQ5IQ3tm/P7e6nM7SdGDB+VRi/M2/FsAIClgSA8j8xMv/PBTepPxks9lCVvQ2eLVrQ2aO/JKzPec2jourrijVoZZ6PcYjMzDfQkoq0Ir31Eks1LeYSXzt5+YsTx3f5X6oMBAHkIwqhIZqYd6zq099TVGeuED54f0VbKIkpmsCehk5dvamQsE+4JTQkpuU06/dM5v/ddK8Indksr7pMSPXN+bQDA0kEQRsV6ZH2HLo6kde7q3TWlo+mMTg7f1DbKIkpmINikePB8xPKIoVek7Pic3vu2GuFMSjrzc1aDAQB3IQijYt06T/ju8ojXz3uSxIpwCW3r8f/bR26skU37zTWKNJ6dVDozdevUiDM/81+T+mAAwB0IwqhYm1a2qqOlXntO3R2EDwWrkBydVjrxxjpt6GyJtmFu7Xsl2ZzKI0bTQXvl3Irw8RelWIPUu7Po1wQALE0EYVQsM9PDfR3aW6DD3MGhEXUva1JHS30JRoacgZ6E9p8bued5z7dp7pBWPTCnIOylgvbKuRrhE7ul3keles72BgDcjiCMirZjfYfOX09p6NrYbdcPnR/h/OAyMNiT0OUb47owkg7/pL6d0rmXpexEUe/pTa8I10ojQ/7RaZRFAAAKIAijoj0S1AnnrwpfH5vQmStj2rqGsohSy22Yi9xYI5uSLrxW1HvetiJ84kX/IhvlAAAFEIRR0e5f1aZEc5325tUJHzrvN9JgRbj0+pNx1cdqItYJP+p/LbI8wksHQbipzj8/uG21tLK/qNcCACxtBGFUtJoa03v6OrQnb0X4YNBR7oHVBOFSq6+t0ZbV8WhBuGW5tHJL0Y01vFRQGlFfI518SdrwAYmW5wCAAgjCqHg71nXo7NUxXRzxzxM+NDSivuXNam+um+WZWAyDPQkdGhpRdnIq/JN6d0pn90qTIZtx5MmtCCeuH5TS16WNH4j8GgCA6kAQRsW7s0740PkRbeXYtLIx0NOuVGZSx4dvhH9S32NS5qZ0YX/k9/NSGdXWmBpOvyTJpPW/GPk1AADVgSCMitefjKutsVZ7T13R5RvjOn89RUe5MjLYs0yStP9slA5zwZm/Z6LXCee6ytmJ3dKah/wj2QAAKIAgjIoXq7l1njAb5cpP3/JmxRtrdWAoQhBu7ZRW3F/UhjkvldXqhqA7HadFAADugSCMJWHH+g6dvHxTP3zjbZlJ72JFuGyY2XRjjUj6HpPO7pEms5Ge5qUzejz2uuSmOD8YAHBPBGEsCTvW+XXC33ltSBs6W9XaUFviESHfYE9Cb749qrGJCKG2b6c0cUO6dCDSe3mpjHZM7pca2qU12yOOFABQTQjCWBLetTqu1oZapTNT1AeXocGehCannA5f8MI/qfcx/2vE8ggvldHAxKvS+vdJMf5CBACYGUEYS0JtrEbv7vU3ZW2lPrjsbAtO8Yi0Ya5tlbR8k3Q62nnCy1OntCw7TH0wAGBWBGEsGblj1LayIlx2OtsatCbRpP1RNsxJfnnE2f+VpiZDP2Vw4lX/G+qDAQCz4N8NsWQ8/Z4emUkPrl1W6qGggMGehA5E6TAn+eURrz4rXTokrR6c9fbx7KQedQd0ralXyxJrixsoAKBqsCKMJWNZS70+/wsbFKuhnW45Guhp19C1lC7fGA//pL7gPOGQdcKjo6PaUXNElzp3FjFCAEC1IQgDWBS5xhqRVoXjq6WO9dKZcHXCmZM/U6NldH3148UMEQBQZQjCABbFA2viqrGIQVjyu8yd+bk0NTXrrbFTL2rc1Wq8+71FjhIAUE0IwgAWRXN9re5b1ab9Q1Ebazwupa9Lb78+660t536sl6c2q7WVDZMAgNkRhAEsmtyGOedc+Cfl6oRnK48YOa+Wkbf0k6ltijfVFT9IAEDVIAgDWDSDPQmNpDI6fWUs/JPau6VE7+wb5k68KEl+EG4kCAMAZkcQBrBoBnr8xhqR64T7HvdXhO9VJ3xit27Wd+qY61G8iZMhAQCzIwgDWDSbVraqqS6m/ZGD8E4pdU0aPlL451OT0okf6WT7w6qtqVFTXWzugwUALHkEYQCLpjZWo61r2nUgaoe53tx5wjPUCZ9/TUpf1xvN71G8qU5mnCUNAJhdqCBsZk+a2TEzO25mXyrw88+Y2bCZ7Q/+/Ob8DxXAUjC4NqHDFzxNZGc/Dm3asl6pfa10+n8K//zEbkmm/6t7UPFGyiIAAOHMGoTNLCbpLyV9RNIWSZ80sy0Fbv1X59xg8Odv53mcAJaIge6EJrJTOnrJi/bEvuA84UInThzfLa1+UJcyzWrnxAgAQEhhVoQflnTcOXfSOTch6duSnlrYYQFYqgZ6/DN+i2qsMXZZGj52+/XUNen8PmnjE/JSGY5OAwCEFiYIr5F0Lu/xUHDtTh83s4Nm9m9m1lPohczsc2a2z8z2DQ8PFzFcAJVuTaJJK1rrtf9c1MYaj/lf7yyPOPljyU1JG56Ql85ydBoAILQwQbjQrpM7/23yPyX1Oee2SfqhpG8VeiHn3Dedc9udc9s7OzujjRTAkmBmGuhORN8wt6xPiq+5u7HGid1SQ1zq3h6sCFMjDAAIJ0wQHpKUv8LbLelC/g3OuSvOufHg4d9Ievf8DA/AUjTYk9CJ4Rvy0pnwTzLzyyNO/+xWnbBz0vEXpXXvk2J18tIZVoQBAKGFCcKvSNpkZuvMrF7S05Kez7/BzJJ5D3dJmuGwTwDwG2s4Jx0aKqI84uY70uW3/MeX35S8IWnjExrPTiqdmaJGGAAQ2qxB2DmXlfQFSd+TH3Cfc84dNrOvmtmu4LYvmtlhMzsg6YuSPrNQAwZQ+bZ1+xvmojfWCOqEzwTtlo/v9r9ueEKj6awkcXwaACC0UJ8YzrkXJL1wx7Wv5H3/jKRn5ndoAJaqRHO91q1oiX5yRMd6qbXLL4/Y/lm/Pnj5RmlZr7zhG5LEijAAIDQ6ywEoicGehPafuy5X6FzgmZj55wmf/qmUSfuBeMMTkqSRlF9vTI0wACAsgjCAkhjobtc7o+O65KWjPbHvMenGJWn/P0rZlLTRD8JerjSCUyMAACERhAGUxEBPQlIxjTWCOuEff12K1U/XDXusCAMAIiIIAyiJ/mRcdTGL3lhjxSapZaW/Krz2Eam+RZKmj2KjRhgAEBZBGEBJNNbFtCUZj74inKsTlqSNH5y+7KVyp0YQhAEA4RCEAZTMQE9CB4eua3IqwoY5SVr/fv/rxg9NX/LSGdXFTI11/FoDAITDJwaAkhnoTujmxKROBEefhTb4q9Jv/UhatWX6kpfyu8qZFeoKDwDA3QjCAEomt2Fu/9mI5RGxWmnNQ7dd8tJZ6oMBAJEQhAGUzPoVLWqpj+nwhYgb5grwV4Q5Og0AEB5BGEDJ1NSY7u9q05FLo3N+LS+dYUUYABAJQRhASfUn4zpy0YvWYa6AXI0wAABhEYQBlNTmZFyj6azOX0/N6XX8GmFKIwAA4RGEAZTUlmSbJOnoxbmVR7AiDACIiiAMoKTu74pLko5c9Ip+jXRmUuPZKWqEAQCREIQBlFRrQ63WdjTr6Bw2zI2mc13lKI0AAIRHEAZQcv3JtjmtCHvpjCSxIgwAiIQgDKDk+pNxnbpyU2MT2aKe76WCIEyNMAAgAoIwgJLb3BWXc9Kbb0dstRzwcqURnBoBAIiAIAyg5LYk57ZhjhVhAEAxCMIASq57WZNaG2qLD8LUCAMAikAQBlByuVbLxZ4l7KVyp0YQhAEA4RGEAZSF/mSbjlwqrtWyl86oLmZqrONXGgAgPD41AJSF/qDV8tC16K2Wc13lzGwBRgYAWKoIwgDKwuagw1wxjTW8dJb6YABAZARhAGVhc1ebzIo7OcJfEeboNABANARhAGWhpaFWvR3NxQXhdIYVYQBAZARhAGVjc1e8uNKIoEYYAIAoCMIAykZ/Mq7TRbRa9muEKY0AAERDEAZQNvqTbXJOOhZxVZgVYQBAMQjCAMpG/3Sr5fBBOJ2Z1Hh2ihphAEBkBGEAZaOYVsuj6VxXOUojAADREIQBlA0z0+auNh29FD4Ie+mMJLEiDACIjCAMoKz0J+M6enE0dKtlLxUEYWqEAQAREYQBlJX+ZFyj4+FbLXu50ghOjQAAREQQBlBWNifbJIXvMMeKMACgWARhAGXlVqvlcCdHUCMMACgWQRhAWWmur1Xf8pYIK8K5UyMIwgCAaAjCAMpOlJMjvHRGdTFTYx2/zgAA0fDJAaDs9CfjOnN1TDfHZ2+1nOsqZ2aLMDIAwFJCEAZQdvqTcTknHQ3RatlLZ6kPBgAUhSAMoOxs7vJPjghTHuGvCHN0GgAgOoIwgLLTvaxJbY3hWi176QwrwgCAohCEAZQdM1N/l99hbja5GmEAAKIiCAMoS5uTbTp6aVRTU/dutezXCFMaAQCIjiAMoCz1J+O6EaLVMivCAIBiEYQBlKX+ZFySdOQeG+bSmUmNZ6eoEQYAFIUgDKAs3beqNWi1PHMQHk0HXeUIwgCAIoQKwmb2pJkdM7PjZvale9z3K2bmzGz7/A0RQDVqrq/VullaLXvpjCRxfBoAoCizBmEzi0n6S0kfkbRF0ifNbEuB+9okfVHS3vkeJIDq1J+M37OphpcKgjArwgCAIoRZEX5Y0nHn3Enn3ISkb0t6qsB9X5P0Z5LS8zg+AFVsc1ebzlwZ040ZWi17udIINssBAIoQJgivkXQu7/FQcG2amT0oqcc59915HBuAKpfbMHdshg1zuRXhdo5PAwAUIUwQtgLXpg/2NLMaSd+Q9HuzvpDZ58xsn5ntGx4eDj9KAFWpf3VwcsQMjTVu1QizIgwAiC5MEB6S1JP3uFvShbzHbZIekPSSmZ2W9Iik5wttmHPOfdM5t905t72zs7P4UQOoCqvbGxW/R6tlL8WpEQCA4oUJwq9I2mRm68ysXtLTkp7P/dA5N+KcW+Gc63PO9UnaI2mXc27fgowYQNUwM21OxmcOwumM6mM1aqjlJEgAQHSzfno457KSviDpe5KOSHrOOXfYzL5qZrsWeoAAqlt/V5uOzdBq2UtlFG+qlVmhCi4AAO4t1A4T2lfOAAAABppJREFU59wLkl6449pXZrj3/XMfFgD4+pNx3ZyY1LlrY+pd3nLbz0ZorwwAmAP+PRFAWZtutVxgw5yXzqqN+mAAQJEIwgDK2n2r2lQzQ6tlL5WhqxwAoGgEYQBlrak+pr4VhVste+kMJ0YAAIpGEAZQ9mZqteylstQIAwCKRhAGUPb6u9p09uqYRoMGGjn+ijClEQCA4hCEAZS9W62Wb60KpzOTmshOsSIMACgaQRhA2Zs+OSIvCE+3V6ZGGABQJIIwgLKXLNBqebq9MqdGAACKRBAGUPbMTP13tFpmRRgAMFcEYQAVoT8Zv63VspcKgjA1wgCAIhGEAVSE/mSbxiYmdfbqmCS/q5wktXNqBACgSARhABXhVqtlvzyCFWEAwFwRhAFUhOlWy8HJEdQIAwDmiiAMoCI01sW0Lq/VspfKqj5Wo4Zafo0BAIrDJwiAiuG3Wg6CcNBVzsxKPCoAQKUiCAOoGP3JuM5dTWk0nZGXylAfDACYE4IwgIrRn2yTJB29NCovnVUb9cEAgDkgCAOoGLmTI45e9IIVYY5OAwAUjyAMoGJ0xRuVaK7TGxdHgxphVoQBAMUjCAOoGGamzV1tOnLRk5fKUiMMAJgTgjCAipJrteyl/FMjAAAoFp8iACpKf1dcqcykJLrKAQDmhhVhABUlt2FOoqscAGBuCMIAKsqmVa2qCXpocGoEAGAuCMIAKkpjXUzrO1slsSIMAJgbgjCAipMrj6BGGAAwFwRhABUn12GunVMjAABzwKcIgIqza2C1LlxPqXd5S6mHAgCoYARhABWne1mz/vhjW0s9DABAhaM0AgAAAFWJIAwAAICqRBAGAABAVSIIAwAAoCoRhAEAAFCVCMIAAACoSgRhAAAAVCWCMAAAAKoSQRgAAABViSAMAACAqkQQBgAAQFUiCAMAAKAqEYQBAABQlcw5V5o3NhuVdKwkb45KsULS5VIPAmWL+YHZMEcwG+ZI9eh1znXeebG2FCMJHHPObS/h+6PMmdk+5ghmwvzAbJgjmA1zBJRGAAAAoCoRhAEAAFCVShmEv1nC90ZlYI7gXpgfmA1zBLNhjlS5km2WAwAAAEqJ0ggAAABUpQULwmb292b2jpm9nnetw8x+YGZvBV+XBdfNzP7czI6b2UEze2ihxoXyMMP8+ISZHTazKTPbfsf9zwTz45iZfXjxR4zFNsMc+bqZHQ1+T/y7mSXyfsYcqTIzzJGvBfNjv5l938xWB9f5nKkyheZH3s9+38ycma0IHjM/qtRCrgg/K+nJO659SdJu59wmSbuDx5L0EUmbgj+fk/TXCzgulIdndff8eF3SL0v6Sf5FM9si6WlJ7wqe81dmFluEMaK0ntXdc+QHkh5wzm2T9KakZyTmSBV7VnfPka8757Y55wYlfVfSV4LrfM5Un2d19/yQmfVI+pCks3mXmR9VasGCsHPuJ5Ku3nH5KUnfCr7/lqSP5V3/B+fbIylhZsmFGhtKr9D8cM4dcc4VarLylKRvO+fGnXOnJB2X9PAiDBMlNMMc+b5zLhs83COpO/ieOVKFZpgjXt7DFkm5jTB8zlSZGXKIJH1D0h/o1tyQmB9Va7FrhFc55y5KUvB1ZXB9jaRzefcNBdcAifmBwj4r6b+D75kjmGZmf2Jm5yR9SrdWhJkjkJntknTeOXfgjh8xP6pUuWyWswLXOM4COcwP3MbMviwpK+mfcpcK3MYcqVLOuS8753rkz48vBJeZI1XOzJolfVm3/nJ0248LXGN+VIHFDsJv5/6pIfj6TnB9SFJP3n3dki4s8thQvpgfmGZmn5b0S5I+5W6d/8gcQSH/LOnjwffMEWyQtE7SATM7LX8OvGZmXWJ+VK3FDsLPS/p08P2nJf1H3vVfC3ZtPiJpJFdCAcifH0+bWYOZrZO/meHlEo8JJWBmT0r6Q0m7nHNjeT9ijkCSZGab8h7uknQ0+J7PmSrnnDvknFvpnOtzzvXJD78POecuiflRtWoX6oXN7F8kvV/SCjMbkvRHkv5U0nNm9hvyd2t+Irj9BUkflb/BZUzSry/UuFAeZpgfVyX9haROSf9lZvudcx92zh02s+ckvSH/n8N/2zk3WaKhY5HMMEeekdQg6QdmJkl7nHOfZ45UpxnmyEfN7H5JU5LOSPp8cDufM1Wm0Pxwzv3dDLczP6oUneUAAABQlcplsxwAAACwqAjCAAAAqEoEYQAAAFQlgjAAAACqEkEYAAAAVYkgDAAAgKpEEAYAAEBVIggDAACgKv0/qa9YupcmsIkAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#在训练集上的拟合结果\n",
    "y_train_predict=model.predict(X_train)\n",
    "#展示在训练集上的表现 \n",
    "draw=pd.concat([pd.DataFrame(y_train),pd.DataFrame(y_train_predict)],axis=1)\n",
    "draw.iloc[100:150,0].plot(figsize=(12,6))\n",
    "draw.iloc[100:150,1].plot(figsize=(12,6))\n",
    "plt.legend(('real', 'predict'),fontsize='15')\n",
    "plt.title(\"Train Data\",fontsize='30') #添加标题"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Test Data')"
      ]
     },
     "execution_count": 128,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#在测试集上的预测\n",
    "y_test_predict=model.predict(X_test)\n",
    "#展示在测试集上的表现 \n",
    "draw=pd.concat([pd.DataFrame(y_test),pd.DataFrame(y_test_predict)],axis=1);\n",
    "draw.iloc[:,0].plot(figsize=(12,6))\n",
    "draw.iloc[:,1].plot(figsize=(12,6))\n",
    "plt.legend(('real', 'predict'),loc='upper right',fontsize='15')\n",
    "plt.title(\"Test Data\",fontsize='30') #添加标题"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "训练集上的MAE/MSE/MAPE\n",
      "0.044691728534802376\n",
      "0.003341371743488307\n",
      "8.573872304525523\n",
      "测试集上的MAE/MSE/MAPE\n",
      "0.04477832419605526\n",
      "0.0032150717814948162\n",
      "10.933897652783196\n",
      "预测涨跌正确: 0.7272727272727273\n"
     ]
    }
   ],
   "source": [
    "#输出结果\n",
    "from sklearn.metrics import mean_absolute_error\n",
    "from sklearn.metrics import mean_squared_error\n",
    "import math\n",
    "def mape(y_true, y_pred):\n",
    "    return np.mean(np.abs((y_pred - y_true) / y_true)) * 100\n",
    "print('训练集上的MAE/MSE/MAPE')\n",
    "print(mean_absolute_error(y_train_predict, y_train))\n",
    "print(mean_squared_error(y_train_predict, y_train) )\n",
    "print(mape(y_train_predict, y_train[:,0]) )\n",
    "print('测试集上的MAE/MSE/MAPE')\n",
    "print(mean_absolute_error(y_test_predict, y_test))\n",
    "print(mean_squared_error(y_test_predict, y_test) )\n",
    "print(mape(y_test_predict,  y_test) )\n",
    "y_var_test=y_test[1:]-y_test[:len(y_test)-1]\n",
    "y_var_predict=y_test_predict[1:]-y_test_predict[:len(y_test_predict)-1]\n",
    "txt=np.zeros(len(y_var_test))\n",
    "for i in range(len(y_var_test-1)):\n",
    "    txt[i]=np.sign(y_var_test[i])==np.sign(y_var_predict[i])\n",
    "result=sum(txt)/len(txt)\n",
    "print('预测涨跌正确:',result)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "E:\\anoconda\\lib\\site-packages\\ipykernel_launcher.py:6: UserWarning: Update your `Dense` call to the Keras 2 API: `Dense(16, input_dim=48, kernel_initializer=\"uniform\")`\n",
      "  \n",
      "E:\\anoconda\\lib\\site-packages\\ipykernel_launcher.py:8: UserWarning: Update your `Dense` call to the Keras 2 API: `Dense(4, kernel_initializer=\"uniform\")`\n",
      "  \n",
      "E:\\anoconda\\lib\\site-packages\\ipykernel_launcher.py:12: UserWarning: The `nb_epoch` argument in `fit` has been renamed `epochs`.\n",
      "  if sys.path[0] == '':\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/50\n",
      "311/311 [==============================] - 0s 821us/step - loss: 0.4287\n",
      "Epoch 2/50\n",
      "311/311 [==============================] - 0s 26us/step - loss: 0.3870\n",
      "Epoch 3/50\n",
      "311/311 [==============================] - 0s 16us/step - loss: 0.3493\n",
      "Epoch 4/50\n",
      "311/311 [==============================] - 0s 26us/step - loss: 0.3080\n",
      "Epoch 5/50\n",
      "311/311 [==============================] - 0s 19us/step - loss: 0.2660\n",
      "Epoch 6/50\n",
      "311/311 [==============================] - 0s 26us/step - loss: 0.2222\n",
      "Epoch 7/50\n",
      "311/311 [==============================] - 0s 22us/step - loss: 0.1789\n",
      "Epoch 8/50\n",
      "311/311 [==============================] - 0s 26us/step - loss: 0.1375\n",
      "Epoch 9/50\n",
      "311/311 [==============================] - 0s 26us/step - loss: 0.0995\n",
      "Epoch 10/50\n",
      "311/311 [==============================] - 0s 22us/step - loss: 0.0663\n",
      "Epoch 11/50\n",
      "311/311 [==============================] - 0s 22us/step - loss: 0.0403\n",
      "Epoch 12/50\n",
      "311/311 [==============================] - 0s 26us/step - loss: 0.0220\n",
      "Epoch 13/50\n",
      "311/311 [==============================] - 0s 28us/step - loss: 0.0123\n",
      "Epoch 14/50\n",
      "311/311 [==============================] - 0s 28us/step - loss: 0.0103\n",
      "Epoch 15/50\n",
      "311/311 [==============================] - 0s 29us/step - loss: 0.0138\n",
      "Epoch 16/50\n",
      "311/311 [==============================] - 0s 26us/step - loss: 0.0196\n",
      "Epoch 17/50\n",
      "311/311 [==============================] - 0s 26us/step - loss: 0.0241\n",
      "Epoch 18/50\n",
      "311/311 [==============================] - 0s 27us/step - loss: 0.0256\n",
      "Epoch 19/50\n",
      "311/311 [==============================] - 0s 42us/step - loss: 0.0238\n",
      "Epoch 20/50\n",
      "311/311 [==============================] - 0s 26us/step - loss: 0.0201\n",
      "Epoch 21/50\n",
      "311/311 [==============================] - 0s 26us/step - loss: 0.0160\n",
      "Epoch 22/50\n",
      "311/311 [==============================] - 0s 22us/step - loss: 0.0127\n",
      "Epoch 23/50\n",
      "311/311 [==============================] - 0s 32us/step - loss: 0.0107\n",
      "Epoch 24/50\n",
      "311/311 [==============================] - 0s 26us/step - loss: 0.0101\n",
      "Epoch 25/50\n",
      "311/311 [==============================] - 0s 22us/step - loss: 0.0103\n",
      "Epoch 26/50\n",
      "311/311 [==============================] - 0s 22us/step - loss: 0.0109\n",
      "Epoch 27/50\n",
      "311/311 [==============================] - 0s 26us/step - loss: 0.0115\n",
      "Epoch 28/50\n",
      "311/311 [==============================] - 0s 22us/step - loss: 0.0119\n",
      "Epoch 29/50\n",
      "311/311 [==============================] - 0s 32us/step - loss: 0.0119\n",
      "Epoch 30/50\n",
      "311/311 [==============================] - 0s 29us/step - loss: 0.0115\n",
      "Epoch 31/50\n",
      "311/311 [==============================] - 0s 26us/step - loss: 0.0110\n",
      "Epoch 32/50\n",
      "311/311 [==============================] - 0s 29us/step - loss: 0.0105\n",
      "Epoch 33/50\n",
      "311/311 [==============================] - 0s 29us/step - loss: 0.0102\n",
      "Epoch 34/50\n",
      "311/311 [==============================] - 0s 26us/step - loss: 0.0100\n",
      "Epoch 35/50\n",
      "311/311 [==============================] - 0s 31us/step - loss: 0.0100\n",
      "Epoch 36/50\n",
      "311/311 [==============================] - 0s 28us/step - loss: 0.0102\n",
      "Epoch 37/50\n",
      "311/311 [==============================] - 0s 26us/step - loss: 0.0103\n",
      "Epoch 38/50\n",
      "311/311 [==============================] - 0s 26us/step - loss: 0.0103\n",
      "Epoch 39/50\n",
      "311/311 [==============================] - 0s 30us/step - loss: 0.0103\n",
      "Epoch 40/50\n",
      "311/311 [==============================] - 0s 30us/step - loss: 0.0102\n",
      "Epoch 41/50\n",
      "311/311 [==============================] - 0s 29us/step - loss: 0.0101\n",
      "Epoch 42/50\n",
      "311/311 [==============================] - 0s 29us/step - loss: 0.0100\n",
      "Epoch 43/50\n",
      "311/311 [==============================] - ETA: 0s - loss: 0.010 - 0s 22us/step - loss: 0.0100\n",
      "Epoch 44/50\n",
      "311/311 [==============================] - ETA: 0s - loss: 0.009 - 0s 26us/step - loss: 0.0100\n",
      "Epoch 45/50\n",
      "311/311 [==============================] - 0s 32us/step - loss: 0.0100\n",
      "Epoch 46/50\n",
      "311/311 [==============================] - 0s 31us/step - loss: 0.0100\n",
      "Epoch 47/50\n",
      "311/311 [==============================] - 0s 22us/step - loss: 0.0100\n",
      "Epoch 48/50\n",
      "311/311 [==============================] - 0s 22us/step - loss: 0.0100\n",
      "Epoch 49/50\n",
      "311/311 [==============================] - 0s 29us/step - loss: 0.0100\n",
      "Epoch 50/50\n",
      "311/311 [==============================] - 0s 22us/step - loss: 0.0100\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<keras.callbacks.callbacks.History at 0x1e5cc3bf9e8>"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#建立bp模型 训练 \n",
    "from keras.models import Sequential\n",
    "from keras.layers.core import Dense, Activation\n",
    "from keras.optimizers import Adam\n",
    "model = Sequential()  #层次模型\n",
    "model.add(Dense(16,input_dim=input_size,init='uniform')) #输入层，Dense表示BP层\n",
    "model.add(Activation('relu'))  #添加激活函数\n",
    "model.add(Dense(4,init='uniform')) #中间层\n",
    "model.add(Activation('relu'))  #添加激活函数\n",
    "model.add(Dense(1))  #输出层\n",
    "model.compile(loss='mean_squared_error', optimizer='Adam') #编译模型\n",
    "model.fit(X_train, y_train, nb_epoch = 50, batch_size = 256) #训练模型nb_epoch=50次"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Train Data')"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#在训练集上的拟合结果\n",
    "y_train_predict=model.predict(X_train)\n",
    "y_train_predict=y_train_predict[:,0]\n",
    "draw=pd.concat([pd.DataFrame(y_train),pd.DataFrame(y_train_predict)],axis=1)\n",
    "draw.iloc[100:150,0].plot(figsize=(12,6))\n",
    "draw.iloc[100:150,1].plot(figsize=(12,6))\n",
    "plt.legend(('real', 'predict'),fontsize='15')\n",
    "plt.title(\"Train Data\",fontsize='30') #添加标题\n",
    "#展示在训练集上的表现 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Test Data')"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#在测试集上的预测\n",
    "y_test_predict=model.predict(X_test)\n",
    "y_test_predict=y_test_predict[:,0]\n",
    "draw=pd.concat([pd.DataFrame(y_test),pd.DataFrame(y_test_predict)],axis=1);\n",
    "draw.iloc[:,0].plot(figsize=(12,6))\n",
    "draw.iloc[:,1].plot(figsize=(12,6))\n",
    "plt.legend(('real', 'predict'),loc='upper right',fontsize='15')\n",
    "plt.title(\"Test Data\",fontsize='30') #添加标题\n",
    "#展示在测试集上的表现 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "训练集上的MAE/MSE/MAPE\n",
      "0.07608115139041978\n",
      "0.010021622320887272\n",
      "13.90027335303405\n",
      "测试集上的MAE/MSE/MAPE\n",
      "0.06725801706012535\n",
      "0.007757606516503033\n",
      "11.496234080976981\n",
      "预测涨跌正确: 0.696969696969697\n"
     ]
    }
   ],
   "source": [
    "#输出结果\n",
    "from sklearn.metrics import mean_absolute_error\n",
    "from sklearn.metrics import mean_squared_error\n",
    "import math\n",
    "def mape(y_true, y_pred):\n",
    "    return np.mean(np.abs((y_pred - y_true) / y_true)) * 100\n",
    "print('训练集上的MAE/MSE/MAPE')\n",
    "print(mean_absolute_error(y_train_predict, y_train))\n",
    "print(mean_squared_error(y_train_predict, y_train) )\n",
    "print(mape(y_train_predict, y_train[:,0]) )\n",
    "print('测试集上的MAE/MSE/MAPE')\n",
    "print(mean_absolute_error(y_test_predict, y_test))\n",
    "print(mean_squared_error(y_test_predict, y_test) )\n",
    "print(mape(y_test_predict,  y_test[:,0]) )\n",
    "y_var_test=y_test[1:]-y_test[:len(y_test)-1]\n",
    "y_var_predict=y_test_predict[1:]-y_test_predict[:len(y_test_predict)-1]\n",
    "txt=np.zeros(len(y_var_test))\n",
    "for i in range(len(y_var_test-1)):\n",
    "    txt[i]=np.sign(y_var_test[i])==np.sign(y_var_predict[i])\n",
    "result=sum(txt)/len(txt)\n",
    "print('预测涨跌正确:',result)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "E:\\anoconda\\lib\\site-packages\\ipykernel_launcher.py:7: FutureWarning: Method .as_matrix will be removed in a future version. Use .values instead.\n",
      "  import sys\n"
     ]
    }
   ],
   "source": [
    "#设置LSTM、GRU的时间窗\n",
    "window=5\n",
    "#处理LSTM数据\n",
    "stock=df\n",
    "seq_len=window\n",
    "amount_of_features = len(stock.columns)#有几列\n",
    "data = stock.as_matrix() #pd.DataFrame(stock) 表格转化为矩阵\n",
    "sequence_length = seq_len + 1#序列长度5+1\n",
    "result = []\n",
    "for index in range(len(data) - sequence_length):#循环170-5次\n",
    "    result.append(data[index: index + sequence_length])#第i行到i+5\n",
    "result = np.array(result)#得到161个样本，样本形式为6天*3特征\n",
    "row = round(0.9 * result.shape[0])#划分训练集测试集\n",
    "train = result[:int(row), :]\n",
    "x_train = train[:, :-1]\n",
    "y_train = train[:, -1][:,-1]\n",
    "x_test = result[int(row):, :-1]\n",
    "y_test = result[int(row):, -1][:,-1]\n",
    "#reshape成 5天*3特征\n",
    "X_train = np.reshape(x_train, (x_train.shape[0], x_train.shape[1], amount_of_features))\n",
    "X_test = np.reshape(x_test, (x_test.shape[0], x_test.shape[1], amount_of_features))  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "E:\\anoconda\\lib\\site-packages\\ipykernel_launcher.py:12: UserWarning: Update your `Dense` call to the Keras 2 API: `Dense(2, activation=\"relu\", kernel_initializer=\"uniform\")`\n",
      "  if sys.path[0] == '':\n",
      "E:\\anoconda\\lib\\site-packages\\ipykernel_launcher.py:13: UserWarning: Update your `Dense` call to the Keras 2 API: `Dense(1, activation=\"relu\", kernel_initializer=\"uniform\")`\n",
      "  del sys.path[0]\n",
      "E:\\anoconda\\lib\\site-packages\\ipykernel_launcher.py:15: UserWarning: The `nb_epoch` argument in `fit` has been renamed `epochs`.\n",
      "  from ipykernel import kernelapp as app\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/1000\n",
      "306/306 [==============================] - 1s 4ms/step - loss: 0.4655 - accuracy: 0.0033\n",
      "Epoch 2/1000\n",
      "306/306 [==============================] - 0s 101us/step - loss: 0.4617 - accuracy: 0.0033\n",
      "Epoch 3/1000\n",
      "306/306 [==============================] - 0s 98us/step - loss: 0.4579 - accuracy: 0.0033\n",
      "Epoch 4/1000\n",
      "306/306 [==============================] - 0s 95us/step - loss: 0.4539 - accuracy: 0.0033\n",
      "Epoch 5/1000\n",
      "306/306 [==============================] - 0s 120us/step - loss: 0.4498 - accuracy: 0.0033\n",
      "Epoch 6/1000\n",
      "306/306 [==============================] - 0s 101us/step - loss: 0.4455 - accuracy: 0.0033\n",
      "Epoch 7/1000\n",
      "306/306 [==============================] - 0s 101us/step - loss: 0.4410 - accuracy: 0.0033\n",
      "Epoch 8/1000\n",
      "306/306 [==============================] - 0s 91us/step - loss: 0.4362 - accuracy: 0.0033\n",
      "Epoch 9/1000\n",
      "306/306 [==============================] - ETA: 0s - loss: 0.4356 - accuracy: 0.00 - 0s 88us/step - loss: 0.4312 - accuracy: 0.0033\n",
      "Epoch 10/1000\n",
      "306/306 [==============================] - 0s 101us/step - loss: 0.4257 - accuracy: 0.0033\n",
      "Epoch 11/1000\n",
      "306/306 [==============================] - 0s 102us/step - loss: 0.4198 - accuracy: 0.0033\n",
      "Epoch 12/1000\n",
      "306/306 [==============================] - 0s 91us/step - loss: 0.4134 - accuracy: 0.0033\n",
      "Epoch 13/1000\n",
      "306/306 [==============================] - 0s 130us/step - loss: 0.4065 - accuracy: 0.0033\n",
      "Epoch 14/1000\n",
      "306/306 [==============================] - 0s 130us/step - loss: 0.3987 - accuracy: 0.0033\n",
      "Epoch 15/1000\n",
      "306/306 [==============================] - 0s 108us/step - loss: 0.3904 - accuracy: 0.0033\n",
      "Epoch 16/1000\n",
      "306/306 [==============================] - 0s 98us/step - loss: 0.3812 - accuracy: 0.0033\n",
      "Epoch 17/1000\n",
      "306/306 [==============================] - 0s 95us/step - loss: 0.3715 - accuracy: 0.0033\n",
      "Epoch 18/1000\n",
      "306/306 [==============================] - 0s 95us/step - loss: 0.3611 - accuracy: 0.0033\n",
      "Epoch 19/1000\n",
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     ]
    },
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     ]
    },
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     "text": [
      "Epoch 155/1000\n",
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     ]
    },
    {
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     "text": [
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     ]
    },
    {
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     "text": [
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      "Epoch 385/1000\n"
     ]
    },
    {
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     "text": [
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     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "Epoch 462/1000\n",
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      "Epoch 538/1000\n"
     ]
    },
    {
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     "text": [
      "306/306 [==============================] - 0s 123us/step - loss: 0.0043 - accuracy: 0.0065\n",
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      "Epoch 615/1000\n"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
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      "Epoch 616/1000\n",
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      "Epoch 692/1000\n"
     ]
    },
    {
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     "text": [
      "306/306 [==============================] - 0s 134us/step - loss: 0.0034 - accuracy: 0.0065\n",
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      "Epoch 769/1000\n"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
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      "Epoch 845/1000\n"
     ]
    },
    {
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     "text": [
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      "Epoch 910/1000\n",
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      "Epoch 911/1000\n",
      "306/306 [==============================] - 0s 104us/step - loss: 0.0026 - accuracy: 0.0065\n",
      "Epoch 912/1000\n",
      "306/306 [==============================] - 0s 98us/step - loss: 0.0026 - accuracy: 0.0065\n",
      "Epoch 913/1000\n",
      "306/306 [==============================] - 0s 101us/step - loss: 0.0025 - accuracy: 0.0065\n",
      "Epoch 914/1000\n",
      "306/306 [==============================] - ETA: 0s - loss: 0.0026 - accuracy: 0.00 - 0s 95us/step - loss: 0.0025 - accuracy: 0.0065\n",
      "Epoch 915/1000\n",
      "306/306 [==============================] - 0s 137us/step - loss: 0.0026 - accuracy: 0.0065\n",
      "Epoch 916/1000\n",
      "306/306 [==============================] - 0s 95us/step - loss: 0.0025 - accuracy: 0.0065\n",
      "Epoch 917/1000\n",
      "306/306 [==============================] - 0s 108us/step - loss: 0.0024 - accuracy: 0.0065\n",
      "Epoch 918/1000\n",
      "306/306 [==============================] - 0s 108us/step - loss: 0.0026 - accuracy: 0.0065\n",
      "Epoch 919/1000\n",
      "306/306 [==============================] - 0s 101us/step - loss: 0.0026 - accuracy: 0.0065\n",
      "Epoch 920/1000\n",
      "306/306 [==============================] - 0s 109us/step - loss: 0.0024 - accuracy: 0.0065\n",
      "Epoch 921/1000\n",
      "306/306 [==============================] - 0s 124us/step - loss: 0.0024 - accuracy: 0.0065\n",
      "Epoch 922/1000\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "306/306 [==============================] - 0s 108us/step - loss: 0.0025 - accuracy: 0.0065\n",
      "Epoch 923/1000\n",
      "306/306 [==============================] - 0s 100us/step - loss: 0.0024 - accuracy: 0.0065\n",
      "Epoch 924/1000\n",
      "306/306 [==============================] - 0s 98us/step - loss: 0.0023 - accuracy: 0.0065\n",
      "Epoch 925/1000\n",
      "306/306 [==============================] - 0s 105us/step - loss: 0.0024 - accuracy: 0.0065\n",
      "Epoch 926/1000\n",
      "306/306 [==============================] - 0s 104us/step - loss: 0.0026 - accuracy: 0.0065\n",
      "Epoch 927/1000\n",
      "306/306 [==============================] - 0s 163us/step - loss: 0.0025 - accuracy: 0.0065\n",
      "Epoch 928/1000\n",
      "306/306 [==============================] - 0s 101us/step - loss: 0.0026 - accuracy: 0.0065\n",
      "Epoch 929/1000\n",
      "306/306 [==============================] - 0s 108us/step - loss: 0.0023 - accuracy: 0.0065\n",
      "Epoch 930/1000\n",
      "306/306 [==============================] - 0s 95us/step - loss: 0.0023 - accuracy: 0.0065\n",
      "Epoch 931/1000\n",
      "306/306 [==============================] - 0s 98us/step - loss: 0.0027 - accuracy: 0.0065\n",
      "Epoch 932/1000\n",
      "306/306 [==============================] - 0s 101us/step - loss: 0.0025 - accuracy: 0.0065\n",
      "Epoch 933/1000\n",
      "306/306 [==============================] - 0s 98us/step - loss: 0.0026 - accuracy: 0.0065\n",
      "Epoch 934/1000\n",
      "306/306 [==============================] - 0s 111us/step - loss: 0.0025 - accuracy: 0.0065\n",
      "Epoch 935/1000\n",
      "306/306 [==============================] - 0s 101us/step - loss: 0.0027 - accuracy: 0.0065\n",
      "Epoch 936/1000\n",
      "306/306 [==============================] - 0s 104us/step - loss: 0.0023 - accuracy: 0.0065\n",
      "Epoch 937/1000\n",
      "306/306 [==============================] - 0s 115us/step - loss: 0.0025 - accuracy: 0.0065\n",
      "Epoch 938/1000\n",
      "306/306 [==============================] - 0s 101us/step - loss: 0.0025 - accuracy: 0.0065\n",
      "Epoch 939/1000\n",
      "306/306 [==============================] - 0s 104us/step - loss: 0.0028 - accuracy: 0.0065\n",
      "Epoch 940/1000\n",
      "306/306 [==============================] - 0s 101us/step - loss: 0.0027 - accuracy: 0.0065\n",
      "Epoch 941/1000\n",
      "306/306 [==============================] - 0s 109us/step - loss: 0.0029 - accuracy: 0.0065\n",
      "Epoch 942/1000\n",
      "306/306 [==============================] - 0s 101us/step - loss: 0.0027 - accuracy: 0.0065\n",
      "Epoch 943/1000\n",
      "306/306 [==============================] - 0s 91us/step - loss: 0.0025 - accuracy: 0.0065\n",
      "Epoch 944/1000\n",
      "306/306 [==============================] - 0s 102us/step - loss: 0.0023 - accuracy: 0.0065\n",
      "Epoch 945/1000\n",
      "306/306 [==============================] - 0s 117us/step - loss: 0.0025 - accuracy: 0.0065\n",
      "Epoch 946/1000\n",
      "306/306 [==============================] - 0s 104us/step - loss: 0.0027 - accuracy: 0.0065\n",
      "Epoch 947/1000\n",
      "306/306 [==============================] - 0s 108us/step - loss: 0.0023 - accuracy: 0.0065\n",
      "Epoch 948/1000\n",
      "306/306 [==============================] - 0s 104us/step - loss: 0.0025 - accuracy: 0.0065\n",
      "Epoch 949/1000\n",
      "306/306 [==============================] - 0s 104us/step - loss: 0.0026 - accuracy: 0.0065\n",
      "Epoch 950/1000\n",
      "306/306 [==============================] - 0s 114us/step - loss: 0.0024 - accuracy: 0.0065\n",
      "Epoch 951/1000\n",
      "306/306 [==============================] - 0s 99us/step - loss: 0.0023 - accuracy: 0.0065\n",
      "Epoch 952/1000\n",
      "306/306 [==============================] - 0s 104us/step - loss: 0.0023 - accuracy: 0.0065\n",
      "Epoch 953/1000\n",
      "306/306 [==============================] - 0s 101us/step - loss: 0.0025 - accuracy: 0.0065\n",
      "Epoch 954/1000\n",
      "306/306 [==============================] - 0s 111us/step - loss: 0.0026 - accuracy: 0.0065\n",
      "Epoch 955/1000\n",
      "306/306 [==============================] - 0s 98us/step - loss: 0.0026 - accuracy: 0.0065\n",
      "Epoch 956/1000\n",
      "306/306 [==============================] - 0s 101us/step - loss: 0.0024 - accuracy: 0.0065\n",
      "Epoch 957/1000\n",
      "306/306 [==============================] - 0s 91us/step - loss: 0.0027 - accuracy: 0.0065\n",
      "Epoch 958/1000\n",
      "306/306 [==============================] - 0s 121us/step - loss: 0.0022 - accuracy: 0.0065\n",
      "Epoch 959/1000\n",
      "306/306 [==============================] - 0s 140us/step - loss: 0.0025 - accuracy: 0.0065\n",
      "Epoch 960/1000\n",
      "306/306 [==============================] - 0s 114us/step - loss: 0.0022 - accuracy: 0.0065\n",
      "Epoch 961/1000\n",
      "306/306 [==============================] - 0s 111us/step - loss: 0.0024 - accuracy: 0.0065\n",
      "Epoch 962/1000\n",
      "306/306 [==============================] - 0s 114us/step - loss: 0.0024 - accuracy: 0.0065\n",
      "Epoch 963/1000\n",
      "306/306 [==============================] - 0s 140us/step - loss: 0.0026 - accuracy: 0.0065\n",
      "Epoch 964/1000\n",
      "306/306 [==============================] - 0s 122us/step - loss: 0.0024 - accuracy: 0.0065\n",
      "Epoch 965/1000\n",
      "306/306 [==============================] - 0s 121us/step - loss: 0.0026 - accuracy: 0.0065\n",
      "Epoch 966/1000\n",
      "306/306 [==============================] - 0s 109us/step - loss: 0.0026 - accuracy: 0.0065\n",
      "Epoch 967/1000\n",
      "306/306 [==============================] - 0s 114us/step - loss: 0.0023 - accuracy: 0.0065\n",
      "Epoch 968/1000\n",
      "306/306 [==============================] - 0s 117us/step - loss: 0.0024 - accuracy: 0.0065\n",
      "Epoch 969/1000\n",
      "306/306 [==============================] - 0s 117us/step - loss: 0.0025 - accuracy: 0.0065\n",
      "Epoch 970/1000\n",
      "306/306 [==============================] - 0s 124us/step - loss: 0.0025 - accuracy: 0.0065\n",
      "Epoch 971/1000\n",
      "306/306 [==============================] - 0s 127us/step - loss: 0.0024 - accuracy: 0.0065\n",
      "Epoch 972/1000\n",
      "306/306 [==============================] - 0s 111us/step - loss: 0.0025 - accuracy: 0.0065\n",
      "Epoch 973/1000\n",
      "306/306 [==============================] - 0s 108us/step - loss: 0.0023 - accuracy: 0.0065\n",
      "Epoch 974/1000\n",
      "306/306 [==============================] - 0s 95us/step - loss: 0.0024 - accuracy: 0.0065\n",
      "Epoch 975/1000\n",
      "306/306 [==============================] - 0s 111us/step - loss: 0.0025 - accuracy: 0.0065\n",
      "Epoch 976/1000\n",
      "306/306 [==============================] - 0s 104us/step - loss: 0.0025 - accuracy: 0.0065\n",
      "Epoch 977/1000\n",
      "306/306 [==============================] - 0s 104us/step - loss: 0.0022 - accuracy: 0.0065\n",
      "Epoch 978/1000\n",
      "306/306 [==============================] - 0s 111us/step - loss: 0.0026 - accuracy: 0.0065\n",
      "Epoch 979/1000\n",
      "306/306 [==============================] - 0s 127us/step - loss: 0.0024 - accuracy: 0.0065\n",
      "Epoch 980/1000\n",
      "306/306 [==============================] - 0s 166us/step - loss: 0.0022 - accuracy: 0.0065\n",
      "Epoch 981/1000\n",
      "306/306 [==============================] - 0s 117us/step - loss: 0.0024 - accuracy: 0.0065\n",
      "Epoch 982/1000\n",
      "306/306 [==============================] - 0s 111us/step - loss: 0.0025 - accuracy: 0.0065\n",
      "Epoch 983/1000\n",
      "306/306 [==============================] - 0s 111us/step - loss: 0.0027 - accuracy: 0.0065\n",
      "Epoch 984/1000\n",
      "306/306 [==============================] - 0s 111us/step - loss: 0.0022 - accuracy: 0.0065\n",
      "Epoch 985/1000\n",
      "306/306 [==============================] - 0s 104us/step - loss: 0.0028 - accuracy: 0.0065\n",
      "Epoch 986/1000\n",
      "306/306 [==============================] - 0s 114us/step - loss: 0.0026 - accuracy: 0.0065\n",
      "Epoch 987/1000\n",
      "306/306 [==============================] - 0s 119us/step - loss: 0.0021 - accuracy: 0.0065\n",
      "Epoch 988/1000\n",
      "306/306 [==============================] - 0s 124us/step - loss: 0.0025 - accuracy: 0.0065\n",
      "Epoch 989/1000\n",
      "306/306 [==============================] - 0s 137us/step - loss: 0.0024 - accuracy: 0.0065\n",
      "Epoch 990/1000\n",
      "306/306 [==============================] - 0s 117us/step - loss: 0.0024 - accuracy: 0.0065\n",
      "Epoch 991/1000\n",
      "306/306 [==============================] - ETA: 0s - loss: 0.0025 - accuracy: 0.00 - 0s 114us/step - loss: 0.0025 - accuracy: 0.0065\n",
      "Epoch 992/1000\n",
      "306/306 [==============================] - 0s 113us/step - loss: 0.0026 - accuracy: 0.0065\n",
      "Epoch 993/1000\n",
      "306/306 [==============================] - 0s 117us/step - loss: 0.0026 - accuracy: 0.0065\n",
      "Epoch 994/1000\n",
      "306/306 [==============================] - ETA: 0s - loss: 0.0024 - accuracy: 0.00 - 0s 225us/step - loss: 0.0025 - accuracy: 0.0065\n",
      "Epoch 995/1000\n",
      "306/306 [==============================] - 0s 134us/step - loss: 0.0024 - accuracy: 0.0065\n",
      "Epoch 996/1000\n",
      "306/306 [==============================] - 0s 101us/step - loss: 0.0030 - accuracy: 0.0065\n",
      "Epoch 997/1000\n",
      "306/306 [==============================] - 0s 81us/step - loss: 0.0026 - accuracy: 0.0065\n",
      "Epoch 998/1000\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "306/306 [==============================] - 0s 120us/step - loss: 0.0029 - accuracy: 0.0065\n",
      "Epoch 999/1000\n",
      "306/306 [==============================] - 0s 98us/step - loss: 0.0027 - accuracy: 0.0065\n",
      "Epoch 1000/1000\n",
      "306/306 [==============================] - 0s 88us/step - loss: 0.0026 - accuracy: 0.0065\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<keras.callbacks.callbacks.History at 0x1e5f68e2be0>"
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#建立LSTM模型 训练\n",
    "from keras.models import Sequential\n",
    "from keras.layers.core import Dense, Dropout, Activation\n",
    "from keras.layers.recurrent import LSTM\n",
    "#建立、训练模型过程\n",
    "d = 0.01\n",
    "model = Sequential()#建立层次模型\n",
    "model.add(LSTM(32, input_shape=(window, input_size), return_sequences=True))#建立LSTM层\n",
    "model.add(Dropout(d))#建立的遗忘层\n",
    "model.add(LSTM(16, input_shape=(window, input_size), return_sequences=False))#建立LSTM层\n",
    "model.add(Dropout(d))#建立的遗忘层\n",
    "model.add(Dense(2,init='uniform',activation='relu'))   #建立全连接层     \n",
    "model.add(Dense(1,init='uniform',activation='relu'))\n",
    "model.compile(loss='mse',optimizer='adam',metrics=['accuracy'])\n",
    "model.fit(X_train, y_train, nb_epoch =1000, batch_size = 256) #训练模型nb_epoch次"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Train Data')"
      ]
     },
     "execution_count": 85,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#在训练集上的拟合结果\n",
    "y_train_predict=model.predict(X_train)\n",
    "y_train_predict=y_train_predict[:,0]\n",
    "draw=pd.concat([pd.DataFrame(y_train),pd.DataFrame(y_train_predict)],axis=1)\n",
    "draw.iloc[100:150,0].plot(figsize=(12,6))\n",
    "draw.iloc[100:150,1].plot(figsize=(12,6))\n",
    "plt.legend(('real', 'predict'),fontsize='15')\n",
    "plt.title(\"Train Data\",fontsize='30') #添加标题\n",
    "#展示在训练集上的表现 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Test Data')"
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#在测试集上的预测\n",
    "y_test_predict=model.predict(X_test)\n",
    "y_test_predict=y_test_predict[:,0]\n",
    "draw=pd.concat([pd.DataFrame(y_test),pd.DataFrame(y_test_predict)],axis=1);\n",
    "draw.iloc[:,0].plot(figsize=(12,6))\n",
    "draw.iloc[:,1].plot(figsize=(12,6))\n",
    "plt.legend(('real', 'predict'),loc='upper right',fontsize='15')\n",
    "plt.title(\"Test Data\",fontsize='30') #添加标题\n",
    "#展示在测试集上的表现 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "训练集上的MAE/MSE/MAPE\n",
      "0.03750908963566755\n",
      "0.0022483087796654135\n",
      "7.171361769878754\n",
      "测试集上的MAE/MSE/MAPE\n",
      "0.04694728713782171\n",
      "0.0029633593237479196\n",
      "8.812595955314176\n",
      "预测涨跌正确: 0.7575757575757576\n"
     ]
    }
   ],
   "source": [
    "#输出结果\n",
    "from sklearn.metrics import mean_absolute_error\n",
    "from sklearn.metrics import mean_squared_error\n",
    "import math\n",
    "def mape(y_true, y_pred):\n",
    "    return np.mean(np.abs((y_pred - y_true) / y_true)) * 100\n",
    "print('训练集上的MAE/MSE/MAPE')\n",
    "print(mean_absolute_error(y_train_predict, y_train))\n",
    "print(mean_squared_error(y_train_predict, y_train) )\n",
    "print(mape(y_train_predict, y_train) )\n",
    "print('测试集上的MAE/MSE/MAPE')\n",
    "print(mean_absolute_error(y_test_predict, y_test))\n",
    "print(mean_squared_error(y_test_predict, y_test) )\n",
    "print(mape(y_test_predict,  y_test) )\n",
    "y_var_test=y_test[1:]-y_test[:len(y_test)-1]\n",
    "y_var_predict=y_test_predict[1:]-y_test_predict[:len(y_test_predict)-1]\n",
    "txt=np.zeros(len(y_var_test))\n",
    "for i in range(len(y_var_test-1)):\n",
    "    txt[i]=np.sign(y_var_test[i])==np.sign(y_var_predict[i])\n",
    "result=sum(txt)/len(txt)\n",
    "print('预测涨跌正确:',result)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "E:\\anoconda\\lib\\site-packages\\ipykernel_launcher.py:10: UserWarning: Update your `Dense` call to the Keras 2 API: `Dense(4, activation=\"relu\", kernel_initializer=\"uniform\")`\n",
      "  # Remove the CWD from sys.path while we load stuff.\n",
      "E:\\anoconda\\lib\\site-packages\\ipykernel_launcher.py:11: UserWarning: Update your `Dense` call to the Keras 2 API: `Dense(1, activation=\"relu\", kernel_initializer=\"uniform\")`\n",
      "  # This is added back by InteractiveShellApp.init_path()\n",
      "E:\\anoconda\\lib\\site-packages\\ipykernel_launcher.py:13: UserWarning: The `nb_epoch` argument in `fit` has been renamed `epochs`.\n",
      "  del sys.path[0]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/100\n",
      "306/306 [==============================] - 2s 5ms/step - loss: 0.4661 - accuracy: 0.0033\n",
      "Epoch 2/100\n",
      "306/306 [==============================] - 0s 183us/step - loss: 0.4622 - accuracy: 0.0033\n",
      "Epoch 3/100\n",
      "306/306 [==============================] - 0s 202us/step - loss: 0.4582 - accuracy: 0.0033\n",
      "Epoch 4/100\n",
      "306/306 [==============================] - 0s 207us/step - loss: 0.4538 - accuracy: 0.0033\n",
      "Epoch 5/100\n",
      "306/306 [==============================] - 0s 210us/step - loss: 0.4491 - accuracy: 0.0033\n",
      "Epoch 6/100\n",
      "306/306 [==============================] - 0s 169us/step - loss: 0.4440 - accuracy: 0.0033\n",
      "Epoch 7/100\n",
      "306/306 [==============================] - 0s 184us/step - loss: 0.4388 - accuracy: 0.0033\n",
      "Epoch 8/100\n",
      "306/306 [==============================] - 0s 186us/step - loss: 0.4334 - accuracy: 0.0033\n",
      "Epoch 9/100\n",
      "306/306 [==============================] - 0s 196us/step - loss: 0.4278 - accuracy: 0.0033\n",
      "Epoch 10/100\n",
      "306/306 [==============================] - 0s 271us/step - loss: 0.4220 - accuracy: 0.0033\n",
      "Epoch 11/100\n",
      "306/306 [==============================] - 0s 176us/step - loss: 0.4160 - accuracy: 0.0033\n",
      "Epoch 12/100\n",
      "306/306 [==============================] - 0s 176us/step - loss: 0.4098 - accuracy: 0.0033\n",
      "Epoch 13/100\n",
      "306/306 [==============================] - 0s 228us/step - loss: 0.4036 - accuracy: 0.0033\n",
      "Epoch 14/100\n",
      "306/306 [==============================] - 0s 196us/step - loss: 0.3970 - accuracy: 0.0033\n",
      "Epoch 15/100\n",
      "306/306 [==============================] - 0s 205us/step - loss: 0.3903 - accuracy: 0.0033\n",
      "Epoch 16/100\n",
      "306/306 [==============================] - 0s 192us/step - loss: 0.3837 - accuracy: 0.0033\n",
      "Epoch 17/100\n",
      "306/306 [==============================] - 0s 197us/step - loss: 0.3768 - accuracy: 0.0033\n",
      "Epoch 18/100\n",
      "306/306 [==============================] - 0s 179us/step - loss: 0.3695 - accuracy: 0.0033\n",
      "Epoch 19/100\n",
      "306/306 [==============================] - 0s 183us/step - loss: 0.3620 - accuracy: 0.0033\n",
      "Epoch 20/100\n",
      "306/306 [==============================] - 0s 186us/step - loss: 0.3547 - accuracy: 0.0033\n",
      "Epoch 21/100\n",
      "306/306 [==============================] - 0s 183us/step - loss: 0.3469 - accuracy: 0.0033\n",
      "Epoch 22/100\n",
      "306/306 [==============================] - 0s 194us/step - loss: 0.3390 - accuracy: 0.0033\n",
      "Epoch 23/100\n",
      "306/306 [==============================] - 0s 179us/step - loss: 0.3312 - accuracy: 0.0033\n",
      "Epoch 24/100\n",
      "306/306 [==============================] - 0s 173us/step - loss: 0.3227 - accuracy: 0.0033\n",
      "Epoch 25/100\n",
      "306/306 [==============================] - ETA: 0s - loss: 0.3134 - accuracy: 0.00 - 0s 179us/step - loss: 0.3144 - accuracy: 0.0033\n",
      "Epoch 26/100\n",
      "306/306 [==============================] - 0s 175us/step - loss: 0.3055 - accuracy: 0.0033\n",
      "Epoch 27/100\n",
      "306/306 [==============================] - 0s 189us/step - loss: 0.2971 - accuracy: 0.0033\n",
      "Epoch 28/100\n",
      "306/306 [==============================] - 0s 179us/step - loss: 0.2882 - accuracy: 0.0033\n",
      "Epoch 29/100\n",
      "306/306 [==============================] - 0s 179us/step - loss: 0.2788 - accuracy: 0.0033\n",
      "Epoch 30/100\n",
      "306/306 [==============================] - 0s 197us/step - loss: 0.2698 - accuracy: 0.0033\n",
      "Epoch 31/100\n",
      "306/306 [==============================] - 0s 181us/step - loss: 0.2608 - accuracy: 0.0033\n",
      "Epoch 32/100\n",
      "306/306 [==============================] - 0s 176us/step - loss: 0.2514 - accuracy: 0.0033\n",
      "Epoch 33/100\n",
      "306/306 [==============================] - 0s 173us/step - loss: 0.2425 - accuracy: 0.0033\n",
      "Epoch 34/100\n",
      "306/306 [==============================] - 0s 196us/step - loss: 0.2335 - accuracy: 0.0033\n",
      "Epoch 35/100\n",
      "306/306 [==============================] - 0s 176us/step - loss: 0.2244 - accuracy: 0.0033\n",
      "Epoch 36/100\n",
      "306/306 [==============================] - 0s 231us/step - loss: 0.2152 - accuracy: 0.0033\n",
      "Epoch 37/100\n",
      "306/306 [==============================] - 0s 169us/step - loss: 0.2060 - accuracy: 0.0033\n",
      "Epoch 38/100\n",
      "306/306 [==============================] - 0s 192us/step - loss: 0.1974 - accuracy: 0.0033\n",
      "Epoch 39/100\n",
      "306/306 [==============================] - 0s 205us/step - loss: 0.1885 - accuracy: 0.0033\n",
      "Epoch 40/100\n",
      "306/306 [==============================] - 0s 183us/step - loss: 0.1800 - accuracy: 0.0033\n",
      "Epoch 41/100\n",
      "306/306 [==============================] - 0s 192us/step - loss: 0.1715 - accuracy: 0.0033\n",
      "Epoch 42/100\n",
      "306/306 [==============================] - 0s 169us/step - loss: 0.1630 - accuracy: 0.0033\n",
      "Epoch 43/100\n",
      "306/306 [==============================] - 0s 238us/step - loss: 0.1550 - accuracy: 0.0033\n",
      "Epoch 44/100\n",
      "306/306 [==============================] - 0s 209us/step - loss: 0.1472 - accuracy: 0.0033\n",
      "Epoch 45/100\n",
      "306/306 [==============================] - 0s 169us/step - loss: 0.1393 - accuracy: 0.0033\n",
      "Epoch 46/100\n",
      "306/306 [==============================] - 0s 186us/step - loss: 0.1322 - accuracy: 0.0033\n",
      "Epoch 47/100\n",
      "306/306 [==============================] - 0s 186us/step - loss: 0.1252 - accuracy: 0.0033\n",
      "Epoch 48/100\n",
      "306/306 [==============================] - 0s 181us/step - loss: 0.1171 - accuracy: 0.0033\n",
      "Epoch 49/100\n",
      "306/306 [==============================] - 0s 227us/step - loss: 0.1110 - accuracy: 0.0033\n",
      "Epoch 50/100\n",
      "306/306 [==============================] - 0s 189us/step - loss: 0.1049 - accuracy: 0.0033\n",
      "Epoch 51/100\n",
      "306/306 [==============================] - 0s 174us/step - loss: 0.0982 - accuracy: 0.0033\n",
      "Epoch 52/100\n",
      "306/306 [==============================] - 0s 184us/step - loss: 0.0919 - accuracy: 0.0033\n",
      "Epoch 53/100\n",
      "306/306 [==============================] - 0s 176us/step - loss: 0.0869 - accuracy: 0.0033\n",
      "Epoch 54/100\n",
      "306/306 [==============================] - 0s 189us/step - loss: 0.0812 - accuracy: 0.0033\n",
      "Epoch 55/100\n",
      "306/306 [==============================] - 0s 202us/step - loss: 0.0760 - accuracy: 0.0033\n",
      "Epoch 56/100\n",
      "306/306 [==============================] - 0s 254us/step - loss: 0.0708 - accuracy: 0.0033\n",
      "Epoch 57/100\n",
      "306/306 [==============================] - 0s 225us/step - loss: 0.0664 - accuracy: 0.0033\n",
      "Epoch 58/100\n",
      "306/306 [==============================] - 0s 235us/step - loss: 0.0621 - accuracy: 0.0033\n",
      "Epoch 59/100\n",
      "306/306 [==============================] - 0s 274us/step - loss: 0.0575 - accuracy: 0.0065\n",
      "Epoch 60/100\n",
      "306/306 [==============================] - 0s 222us/step - loss: 0.0535 - accuracy: 0.0065\n",
      "Epoch 61/100\n",
      "306/306 [==============================] - ETA: 0s - loss: 0.0505 - accuracy: 0.00 - 0s 218us/step - loss: 0.0497 - accuracy: 0.0065\n",
      "Epoch 62/100\n",
      "306/306 [==============================] - 0s 267us/step - loss: 0.0470 - accuracy: 0.0065\n",
      "Epoch 63/100\n",
      "306/306 [==============================] - 0s 258us/step - loss: 0.0445 - accuracy: 0.0065\n",
      "Epoch 64/100\n",
      "306/306 [==============================] - 0s 227us/step - loss: 0.0411 - accuracy: 0.0065\n",
      "Epoch 65/100\n",
      "306/306 [==============================] - 0s 381us/step - loss: 0.0388 - accuracy: 0.0065\n",
      "Epoch 66/100\n",
      "306/306 [==============================] - 0s 261us/step - loss: 0.0360 - accuracy: 0.0065\n",
      "Epoch 67/100\n",
      "306/306 [==============================] - 0s 215us/step - loss: 0.0342 - accuracy: 0.0065\n",
      "Epoch 68/100\n",
      "306/306 [==============================] - 0s 197us/step - loss: 0.0324 - accuracy: 0.0065\n",
      "Epoch 69/100\n",
      "306/306 [==============================] - 0s 205us/step - loss: 0.0303 - accuracy: 0.0065\n",
      "Epoch 70/100\n",
      "306/306 [==============================] - 0s 171us/step - loss: 0.0284 - accuracy: 0.0065\n",
      "Epoch 71/100\n",
      "306/306 [==============================] - 0s 184us/step - loss: 0.0276 - accuracy: 0.0065\n",
      "Epoch 72/100\n",
      "306/306 [==============================] - 0s 186us/step - loss: 0.0260 - accuracy: 0.0065\n",
      "Epoch 73/100\n",
      "306/306 [==============================] - 0s 204us/step - loss: 0.0246 - accuracy: 0.0065\n",
      "Epoch 74/100\n",
      "306/306 [==============================] - 0s 196us/step - loss: 0.0233 - accuracy: 0.0065\n",
      "Epoch 75/100\n",
      "306/306 [==============================] - 0s 192us/step - loss: 0.0219 - accuracy: 0.0065\n",
      "Epoch 76/100\n",
      "306/306 [==============================] - 0s 183us/step - loss: 0.0210 - accuracy: 0.0065\n",
      "Epoch 77/100\n",
      "306/306 [==============================] - 0s 176us/step - loss: 0.0202 - accuracy: 0.0065\n",
      "Epoch 78/100\n",
      "306/306 [==============================] - 0s 160us/step - loss: 0.0187 - accuracy: 0.0065\n",
      "Epoch 79/100\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "306/306 [==============================] - 0s 183us/step - loss: 0.0182 - accuracy: 0.0065\n",
      "Epoch 80/100\n",
      "306/306 [==============================] - 0s 215us/step - loss: 0.0175 - accuracy: 0.0065\n",
      "Epoch 81/100\n",
      "306/306 [==============================] - 0s 196us/step - loss: 0.0168 - accuracy: 0.0065\n",
      "Epoch 82/100\n",
      "306/306 [==============================] - 0s 191us/step - loss: 0.0167 - accuracy: 0.0065\n",
      "Epoch 83/100\n",
      "306/306 [==============================] - 0s 199us/step - loss: 0.0160 - accuracy: 0.0065\n",
      "Epoch 84/100\n",
      "306/306 [==============================] - 0s 169us/step - loss: 0.0152 - accuracy: 0.0065\n",
      "Epoch 85/100\n",
      "306/306 [==============================] - 0s 176us/step - loss: 0.0146 - accuracy: 0.0065\n",
      "Epoch 86/100\n",
      "306/306 [==============================] - 0s 186us/step - loss: 0.0142 - accuracy: 0.0065\n",
      "Epoch 87/100\n",
      "306/306 [==============================] - 0s 192us/step - loss: 0.0139 - accuracy: 0.0065\n",
      "Epoch 88/100\n",
      "306/306 [==============================] - 0s 202us/step - loss: 0.0132 - accuracy: 0.0065\n",
      "Epoch 89/100\n",
      "306/306 [==============================] - 0s 186us/step - loss: 0.0127 - accuracy: 0.0065\n",
      "Epoch 90/100\n",
      "306/306 [==============================] - 0s 163us/step - loss: 0.0130 - accuracy: 0.0065\n",
      "Epoch 91/100\n",
      "306/306 [==============================] - 0s 169us/step - loss: 0.0125 - accuracy: 0.0065\n",
      "Epoch 92/100\n",
      "306/306 [==============================] - 0s 199us/step - loss: 0.0121 - accuracy: 0.0065\n",
      "Epoch 93/100\n",
      "306/306 [==============================] - 0s 184us/step - loss: 0.0124 - accuracy: 0.0065\n",
      "Epoch 94/100\n",
      "306/306 [==============================] - 0s 204us/step - loss: 0.0117 - accuracy: 0.0065\n",
      "Epoch 95/100\n",
      "306/306 [==============================] - 0s 173us/step - loss: 0.0115 - accuracy: 0.0065\n",
      "Epoch 96/100\n",
      "306/306 [==============================] - 0s 245us/step - loss: 0.0117 - accuracy: 0.0065\n",
      "Epoch 97/100\n",
      "306/306 [==============================] - 0s 202us/step - loss: 0.0119 - accuracy: 0.0065\n",
      "Epoch 98/100\n",
      "306/306 [==============================] - 0s 209us/step - loss: 0.0106 - accuracy: 0.0065\n",
      "Epoch 99/100\n",
      "306/306 [==============================] - 0s 230us/step - loss: 0.0109 - accuracy: 0.0065\n",
      "Epoch 100/100\n",
      "306/306 [==============================] - 0s 173us/step - loss: 0.0108 - accuracy: 0.0065\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<keras.callbacks.callbacks.History at 0x1e58732ba90>"
      ]
     },
     "execution_count": 100,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#建立GRU模型 训练\n",
    "from keras.layers.recurrent import GRU\n",
    "#建立、训练模型过程\n",
    "d = 0.01\n",
    "model = Sequential()#建立层次模型\n",
    "model.add(GRU(64, input_shape=(window, input_size), return_sequences=True))#建立LSTM层\n",
    "model.add(Dropout(d))#建立的遗忘层\n",
    "model.add(GRU(16, input_shape=(window, input_size), return_sequences=False))#建立LSTM层\n",
    "model.add(Dropout(d))#建立的遗忘层\n",
    "model.add(Dense(4,init='uniform',activation='relu'))   #建立全连接层     \n",
    "model.add(Dense(1,init='uniform',activation='relu'))\n",
    "model.compile(loss='mse',optimizer='adam',metrics=['accuracy'])\n",
    "model.fit(X_train, y_train, nb_epoch =100, batch_size = 256) #训练模型nb_epoch次"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Train Data')"
      ]
     },
     "execution_count": 101,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#在训练集上的拟合结果\n",
    "y_train_predict=model.predict(X_train)\n",
    "y_train_predict=y_train_predict[:,0]\n",
    "draw=pd.concat([pd.DataFrame(y_train),pd.DataFrame(y_train_predict)],axis=1)\n",
    "draw.iloc[100:150,0].plot(figsize=(12,6))\n",
    "draw.iloc[100:150,1].plot(figsize=(12,6))\n",
    "plt.legend(('real', 'predict'),fontsize='15')\n",
    "plt.title(\"Train Data\",fontsize='30') #添加标题\n",
    "#展示在训练集上的表现 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Test Data')"
      ]
     },
     "execution_count": 102,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#在测试集上的预测\n",
    "y_test_predict=model.predict(X_test)\n",
    "y_test_predict=y_test_predict[:,0]\n",
    "draw=pd.concat([pd.DataFrame(y_test),pd.DataFrame(y_test_predict)],axis=1);\n",
    "draw.iloc[:,0].plot(figsize=(12,6))\n",
    "draw.iloc[:,1].plot(figsize=(12,6))\n",
    "plt.legend(('real', 'predict'),loc='upper right',fontsize='15')\n",
    "plt.title(\"Test Data\",fontsize='30') #添加标题\n",
    "#展示在测试集上的表现 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "训练集上的MAE/MSE/MAPE\n",
      "0.07366349008016972\n",
      "0.010104306084127183\n",
      "12.215200926048825\n",
      "测试集上的MAE/MSE/MAPE\n",
      "0.05405287445725154\n",
      "0.006479302997912402\n",
      "9.05261399709468\n",
      "预测涨跌正确: 0.5454545454545454\n"
     ]
    }
   ],
   "source": [
    "#输出结果\n",
    "from sklearn.metrics import mean_absolute_error\n",
    "from sklearn.metrics import mean_squared_error\n",
    "import math\n",
    "def mape(y_true, y_pred):\n",
    "    return np.mean(np.abs((y_pred - y_true) / y_true)) * 100\n",
    "print('训练集上的MAE/MSE/MAPE')\n",
    "print(mean_absolute_error(y_train_predict, y_train))\n",
    "print(mean_squared_error(y_train_predict, y_train) )\n",
    "print(mape(y_train_predict, y_train) )\n",
    "print('测试集上的MAE/MSE/MAPE')\n",
    "print(mean_absolute_error(y_test_predict, y_test))\n",
    "print(mean_squared_error(y_test_predict, y_test) )\n",
    "print(mape(y_test_predict,  y_test) )\n",
    "y_var_test=y_test[1:]-y_test[:len(y_test)-1]\n",
    "y_var_predict=y_test_predict[1:]-y_test_predict[:len(y_test_predict)-1]\n",
    "txt=np.zeros(len(y_var_test))\n",
    "for i in range(len(y_var_test-1)):\n",
    "    txt[i]=np.sign(y_var_test[i])==np.sign(y_var_predict[i])\n",
    "result=sum(txt)/len(txt)\n",
    "print('预测涨跌正确:',result)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}
